459 lines
1.7 MiB
459 lines
1.7 MiB
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url: https://ieeexplore.ieee.org/document/7467288
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saved date: Fri Aug 18 2023 09:48:02 GMT+0200 (Mitteleuropäische Sommerzeit)
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<meta name=Description id=meta-description content="Eye-tracking studies are getting more prevalent in software engineering. Researchers often use different metrics when publishing their results in eye-tracking s">
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<meta name=customerIndustry content=Other>
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<meta name=parsely-title content="Eye-Tracking Metrics in Software Engineering | IEEE Conference Publication | IEEE Xplore">
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<meta name=parsely-link content=https://ieeexplore.ieee.org/document/7467288>
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<meta name=parsely-section content=Conferences>
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<meta name=parsely-author content="Zohreh Sharafi;Timothy Shaffer;Bonita Sharif;Yann-Gaël Guéhéneuc">
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<title>Eye-Tracking Metrics in Software Engineering | IEEE Conference Publication | IEEE Xplore</title>
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<meta property=twitter:title content="Eye-Tracking Metrics in Software Engineering">
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<meta property=og:title content="Eye-Tracking Metrics in Software Engineering">
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<meta property=twitter:description content="Eye-tracking studies are getting more prevalent in software engineering. Researchers often use different metrics when publishing their results in eye-tracking studies. Even when the same metrics are used, they are given different names, causing difficulties in comparing studies. To encourage replications and facilitate advancing the state of the art, it is important that the metrics used by researchers be clearly and consistently defined in the literature. There is therefore a need for a survey of eye-tracking metrics to support the (future) goal of standardizing eye-tracking metrics. This paper seeks to bring awareness to the use of different metrics along with practical suggestions on using them. It compares and contrasts various eye-tracking metrics used in software engineering. It also provides definitions for common metrics and discusses some metrics that the software engineering community might borrow from other fields.">
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<meta property=og:description content="Eye-tracking studies are getting more prevalent in software engineering. Researchers often use different metrics when publishing their results in eye-tracking studies. Even when the same metrics are used, they are given different names, causing difficulties in comparing studies. To encourage replications and facilitate advancing the state of the art, it is important that the metrics used by researchers be clearly and consistently defined in the literature. There is therefore a need for a survey of eye-tracking metrics to support the (future) goal of standardizing eye-tracking metrics. This paper seeks to bring awareness to the use of different metrics along with practical suggestions on using them. It compares and contrasts various eye-tracking metrics used in software engineering. It also provides definitions for common metrics and discusses some metrics that the software engineering community might borrow from other fields.">
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.search-field[_ngcontent-bgi-c475]>div[_ngcontent-bgi-c475]{flex-grow:1;padding-right:5%}.search-bar-wrapper[_ngcontent-bgi-c475] .search-field[_ngcontent-bgi-c475]>div[_ngcontent-bgi-c475]:last-child{padding-right:0}@media only screen and (max-width:767px){.search-bar-wrapper[_ngcontent-bgi-c475] .search-field[_ngcontent-bgi-c475]>div[_ngcontent-bgi-c475]{padding-right:0}}.search-bar-wrapper[_ngcontent-bgi-c475] .search-field[_ngcontent-bgi-c475] .global-search-bar[_ngcontent-bgi-c475]{flex-grow:1}.search-bar-wrapper[_ngcontent-bgi-c475] .search-field-icon-container[_ngcontent-bgi-c475]{display:flex}.search-bar-wrapper[_ngcontent-bgi-c475] .search-icon[_ngcontent-bgi-c475]{background-color:#e4a42c;width:3.5625rem;display:flex;align-items:center;justify-content:center;cursor:pointer}@media only screen and (max-width:767px){.search-bar-wrapper[_ngcontent-bgi-c475] .search-icon[_ngcontent-bgi-c475]{order:1}}.search-bar-wrapper[_ngcontent-bgi-c475] .search-icon[_ngcontent-bgi-c475]>.fa-search[_ngcontent-bgi-c475]{width:29px;height:25px;color:#000;text-align:center}.global-search-bar[_ngcontent-bgi-c475]{position:relative}.xplore-logo-container[_ngcontent-bgi-c461]{display:flex;flex-direction:column}.xplore-logo-container[_ngcontent-bgi-c461] a[_ngcontent-bgi-c461]{align-self:center}.xplore-logo-container[_ngcontent-bgi-c461] img.xplore-logo[_ngcontent-bgi-c461]{width:160px;height:40px}.ieee-logo-container[_ngcontent-bgi-c463]{display:flex;flex-direction:column}.ieee-logo-container[_ngcontent-bgi-c463] .ieee-logo[_ngcontent-bgi-c463]{width:100px;align-self:flex-end}.footer-new[_ngcontent-bgi-c467]{display:flex;background-color:#17445a;padding-top:3rem;color:#fff}@media only screen and (max-width:767px){.footer-new[_ngcontent-bgi-c467]{padding-top:.1rem}}.footer-new[_ngcontent-bgi-c467]>div[_ngcontent-bgi-c467]{padding-bottom:2rem}.footer-new[_ngcontent-bgi-c467] h2[_ngcontent-bgi-c467]{font-weight:800;font-family:"IBM Plex 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(max-width:767px){.footer-new[_ngcontent-bgi-c467] .flexible-row-col[_ngcontent-bgi-c467]{padding-bottom:.1rem;flex-direction:column}}.footer-new[_ngcontent-bgi-c467] .footer-col[_ngcontent-bgi-c467]{flex-grow:1;padding-left:2rem}@media only screen and (max-width:767px){.footer-new[_ngcontent-bgi-c467] .footer-col[_ngcontent-bgi-c467]{padding-top:1rem}.footer-new[_ngcontent-bgi-c467] .footer-col[_ngcontent-bgi-c467]:first-child{padding-top:2rem}.footer-new[_ngcontent-bgi-c467] .footer-col[_ngcontent-bgi-c467]:last-child{padding-bottom:.25rem}}.footer-new[_ngcontent-bgi-c467] .footer-bottom-section[_ngcontent-bgi-c467] p[_ngcontent-bgi-c467]{margin:0;padding-left:2rem;padding-right:2rem}.footer-new[_ngcontent-bgi-c467] .footer-bottom-section[_ngcontent-bgi-c467] p[_ngcontent-bgi-c467]:last-child{padding-top:1rem}.footer-new[_ngcontent-bgi-c467] .footer-bottom-section[_ngcontent-bgi-c467] p[_ngcontent-bgi-c467] span[_ngcontent-bgi-c467]{padding-left:0}.footer-new[_ngcontent-bgi-c467] .footer-bottom-section[_ngcontent-bgi-c467] p[_ngcontent-bgi-c467] .ethics-reporting-link[_ngcontent-bgi-c467] i[_ngcontent-bgi-c467]{padding-left:.25rem}.footer-new[_ngcontent-bgi-c467] .nowrap[_ngcontent-bgi-c467]{white-space:nowrap}.signout[_ngcontent-bgi-c462]{font-size:.75rem;padding-left:1rem;padding-right:1.25rem;padding-top:.5rem}.signout[_ngcontent-bgi-c462] a[_ngcontent-bgi-c462]{display:block}.inst-detail[_ngcontent-bgi-c462]{display:flex;background:#FFF;margin-top:-18px;border-radius:0 0 .4rem .4rem;height:71px}@media only screen and (max-width:767px){.inst-detail[_ngcontent-bgi-c462]{height:auto;border-radius:0;justify-content:center;flex-wrap:wrap}}.inst-logo[_ngcontent-bgi-c462]{display:flex;align-items:flex-start;height:70px}@media only screen and (max-width:575px){.inst-logo[_ngcontent-bgi-c462]{height:58px}}.inst-logo[_ngcontent-bgi-c462] .inst-img[_ngcontent-bgi-c462]{padding-top:.5rem;padding-left:1rem;padding-bottom:.5rem;height:100%;width:100%;box-sizing:border-box}.inst-text-container[_ngcontent-bgi-c462]{padding-left:.5rem;padding-right:.5rem;margin-top:.25rem;display:flex;margin-bottom:1rem;border-right:1px solid #dddddd}.access-text[_ngcontent-bgi-c462]{white-space:nowrap;font-size:12px}.inst-name[_ngcontent-bgi-c462]{font-size:12px}.Typeahead-input[_ngcontent-bgi-c76]{border-radius:0}@media only screen and (max-width:767px){.document-sidebar[_ngcontent-bgi-c212]{position:absolute;height:calc(100% - 129px);z-index:11000;right:0;padding:0;max-width:40vw;transform:translate(40vw);transition:transform .25s ease-in-out 0s}}@media only screen and (max-width:575px){.document-sidebar[_ngcontent-bgi-c212]{max-width:80vw;transform:translate(80vw)}}@media only screen and (max-width:767px){.document-sidebar-content[_ngcontent-bgi-c212]{max-height:calc(100% - 129px);width:100%;overflow:scroll;position:absolute}}.document-sidebar.top-spacing[_ngcontent-bgi-c212]{margin-top:35px}@media only screen and (max-width:767px){.document-sidebar.top-spacing[_ngcontent-bgi-c212]{margin-top:8.5rem}}@media only screen and (min-width:768px){.document-sidebar-rel-art[_ngcontent-bgi-c212]{padding:0 15px 35px}}.document-title[_ngcontent-bgi-c163]{letter-spacing:normal}.document-title[_ngcontent-bgi-c163]{margin:0;font-weight:700}.document-title-fix[_ngcontent-bgi-c163]{flex-grow:1;width:100%}.pdf-btn-container[_ngcontent-bgi-c163]{margin-left:28px}.document-header-inner-container[_ngcontent-bgi-c163]{max-width:100%;width:100%}.document-header-breadcrumbs-container[_ngcontent-bgi-c163]{padding:.4rem 1rem .8rem;margin:0;font-size:.8em}.document-header-breadcrumbs-container[_ngcontent-bgi-c163] #help[_ngcontent-bgi-c163]{font-size:14px}.document-header-metrics-banner[_ngcontent-bgi-c163]{padding:.4rem 1rem .8rem;width:100%}.document-header-title-container[_ngcontent-bgi-c163]{padding:.4rem 1rem .8rem;display:flex}@media only screen and (max-width:767px){.document-header-title-container[_ngcontent-bgi-c163]{flex-direction:column}}.document-header-title-container[_ngcontent-bgi-c163] .right-container[_ngcontent-bgi-c163]{margin-left:auto;display:flex;flex-direction:column}@media only screen and (max-width:767px){.document-header-title-container[_ngcontent-bgi-c163] .right-container[_ngcontent-bgi-c163]{margin-left:0;margin-right:auto}}.document-banner-access[_ngcontent-bgi-c163]{width:100%;display:flex}.breadcrumbs-separator[_ngcontent-bgi-c163]{padding:.4rem}.btn-container[_ngcontent-bgi-c163]{display:flex}.btn-container[_ngcontent-bgi-c163] .cite-this-related-btn-wrapper[_ngcontent-bgi-c163] .cite-this-btn[_ngcontent-bgi-c163]{padding:.5rem;border:2px solid #069;font-weight:700}.publisher-title-tooltip[_ngcontent-bgi-c163]{margin-top:.3em;padding-right:30px}@media only screen and (max-width:767px){.document-header-title-container[_ngcontent-bgi-c163]{position:relative}}.doc-share-tool[_ngcontent-bgi-c159] i[_ngcontent-bgi-c159]{font-size:1.2rem}.doc-share-tool[_ngcontent-bgi-c159] i.fa-share-alt[_ngcontent-bgi-c159]{color:#069}[_nghost-bgi-c183]{width:100%}.stats-document-container-fullTextSection[_ngcontent-bgi-c183]{padding:0 15px}.stats-document-container-rh[_ngcontent-bgi-c183]{padding-right:1em;padding-left:1em}.hide-full-text[_ngcontent-bgi-c183]{overflow:hidden}.show-full-text[_ngcontent-bgi-c183]{max-height:inherit}.accordion-header[_ngcontent-bgi-c188] .accordion-chevron[_ngcontent-bgi-c188] .fa[_ngcontent-bgi-c188]{font-size:1.5rem}.document-all-references[_ngcontent-bgi-c211]{position:fixed;top:0;right:0;width:30vw;min-width:450px;padding:1rem 1rem 3rem;box-shadow:3px 10px 10px #000;overflow:auto;height:100vh;box-sizing:border-box;z-index:99999;transform:translate(100%);background-color:#fff;transition:transform .25s ease-in-out 0s}.reference-container[_ngcontent-bgi-c211]{padding:1rem 0}.header[_ngcontent-bgi-c211]{display:flex;align-items:center;padding:.5rem 0}.header[_ngcontent-bgi-c211] h1[_ngcontent-bgi-c211]{margin:0;font-weight:400;color:#333}.header[_ngcontent-bgi-c211] a[_ngcontent-bgi-c211]{margin-left:auto;font-size:1.25rem;color:#333}i.help-link[_ngcontent-bgi-c61]{color:#069}i.help-link[_ngcontent-bgi-c61]:hover{color:#0081c1}.breadcrumb-help-link-icon[_ngcontent-bgi-c61]{font-size:1rem}a[_ngcontent-bgi-c61]:hover{text-decoration:none}.pdf-btn-link[_ngcontent-bgi-c141]{height:36px;background-color:#ff3500;padding:0 25px;display:flex;align-items:center;justify-content:center;border-radius:2px;color:#fff}.pdf-btn-link[_ngcontent-bgi-c141] .icon[_ngcontent-bgi-c141]{font-size:1.15rem;color:#fff;margin-right:.45rem}.pdf-btn-link[_ngcontent-bgi-c141]>span[_ngcontent-bgi-c141]{font-weight:700}.red-pdf[_ngcontent-bgi-c141]{font-size:1.3rem;margin-right:.15rem;color:#fc0d1b;font-style:normal}.red-pdf[_ngcontent-bgi-c141]:after{color:#fc0d1b}.document-authors-banner[_ngcontent-bgi-c156] .authors-container[_ngcontent-bgi-c156]{padding:0 0 0 1rem}.stats-document-authors-banner[_ngcontent-bgi-c156]{padding:.25rem 1rem .25rem 0}.authors-minimized[_ngcontent-bgi-c156]{overflow:hidden;text-overflow:ellipsis;white-space:nowrap}.toc-container[_ngcontent-bgi-c164]{padding:.6em .5em;border-bottom:1px solid #dddddd}.toc-heading[_ngcontent-bgi-c164]{font-size:1em;padding-bottom:.5em}.toc-list[_ngcontent-bgi-c164]{list-style:none;padding:0}.toc-list-item[_ngcontent-bgi-c164]{padding:.5em 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SJn16ceVqQiChJYgRza4QfAXxxAfiN88Cj8BP0zFoM2bGZd3S0ENf08LM5Jx7OFGrBI4Dkw2xKYP5hVoo9tBQTXPKJjEhO7sl1+3jOZ/Yaszk3mNvLpVmJFYHHOAYPmmOacX9hjjq28ZQ5yOn2ED0NQJ8G2gthEAVJ+isN4i+JTIARiE/QgY9lcAWOpsfkc0vWPqDbaGni5Dy4ZjbSxKeoEOwhe3OPQIprcSc9kgN0YOPsniafCXwS5ioPMYgrVxSJKPD+Iaolw/TfNd6gIJqgEfyMz+g1ec1eR+PyjdydQJy59Y08zAXhMHUJfkESRUmQ+DAc5f8MHVyfZ7etpQoeBbOnCPQk7zM0WtfMHxSjzclsHqUPTGx6Nv8kXShoH4f9sJUlqdxAgGOkFinNcu4gqc/dAGWCy69kOWAkJg62vkiGaP4ToHkSQlzS2+oNOvGxbKzZq/caeC7k+dL4gvQ02saPWOVH29hylYf3GhzFTr3ZYrdbPI0+J2eHNRxZCrhKTetLyUM8jwsQZhfwIk/PxBX024asiXooBBNnYJoIZ+M8iq++4maS//nXPD36f+BpAa8QAzIFU/w+wIATm2Z8OmqYyVxwGh7soEebtG/Asb7tW/2iXwQuaO2pirlJvklgBU7AIPH3t7+Z3B/biWsL+NE5Qb5VaMFM9/mlVsIH+AAWDgweO5RDBbcKc3o5bBQQ2j0e4H0Wb5Mg4ALGcp/ioiw4wN1wFeMk+TsaV95ffo8Cxr+UHh2pOmjtdffBdkjyST7cSe99nc6lPzw4m/+/gd33gXwGyd+FmLXj/wKziHw7PfvH9BdYGHdiPE3M0Ni0+oR84nbtZihlH4FFUCJsBAsiOYvZ4DOACxwCbFHyXwA7Aae7RneD6QHLUmAJx8iXgkYucIMwl+fjj6eO9NIzxIgghhMxbgffgkvCUi0Ioj8pYlXEosdKHG+DjbAB69lqNNcGNB36jPMxeLvm2aJBhNMA559XsVmHu/xcHLF/K78TK/AuGGNJEhMBOH8CE4H1hEhlbhWvE3wCRoagJELyqbajmJg/oPj0n+wEbi4wC+SYz3V6TH15E86NZYoBj5/9725SgzfxCgwoJR5E+qPMHin095YgQkh5BgixQjNG5hUwk3l/Rr2N107BNL8LduMLL97y1YtX5FbyZt4leJVUlgDoDzP7gmEp4BciWC/7hS5oV2BHIKLIC2IC4xSf4FQ+OXKdbAXCOlmauxwW8yW8BX+VYRk0OWPxmngW0749dxQGGAmfnWd5DCXzg8vkyjvkQ4G0w9PsrlY+7cnVgfA1o5O8tqaxE2fMqA/Q83MyS05otOCQzz5Z4bXoHlq6fAVUQ1XU3OqMABcRh4M9vTDJ9OlbaoGsqi1at+DA2uNzqRo+eLnnmODvo2duod8bpt/vo2fwYiCe5juBhHPbkexJ6VNkSuDQgZyf4x1QCiXcY/AYLMUQ+q9802cxrDt3+y6wYdF8VrHttJqO/wsFE3EjjvRwhD8ET8IoO6ngOfISwY+ZF1AsilH89XiKbIvvJZ0fPb9PM9Y/0MUDOSgXaKYvTFQghzMbnRWY+mhxJmtx+ynOGMltFd+DIWQsQ1wvS6Jf9bcOg8kqOoKOoOi7jT606ePy14HnebqGXiviTySn/q2DO1I7RZIA9DhGVqAT4yLqASPn4Cq5clgLpUIpWDG3WB9hGU8jxrA76AtDgot6wQ4en9vh8HhOquUJrG7wGn1GChIlWnfyaQjzWL14JMctp8hxwCdYT6Utmc1bG14vm7e+b+QJeZhb2cDO0NGcf+iAf8BHQ0AxxAW0tygICL2Cn4R7j9M6XOGsA6y5GMMco6zN6THVzKt9dHH5sopyuBYWYI1QWOEQ/c44vYq8Tp9yN0YC4UCr8DhPxnMl/Ct/XGpH4h3EqubhimEjVw91XC2sgbV8CXIAETy6b2KveZn5syui7Re0oKv8SamNE1wBzK8yKJe8fSD525+mInmedk7IhzVd8iMt8jlYibx+VmEF6LMAL3xAL/qM3k5oIX1KA5w89+QBr/PvSxlj4TjRhxGm1LBR2MIfgEMwwk4gveD/aTBKWdzZPYs7O/lhDBoRCVkAfx1FDYdrwhf8AsgV4GE1LEI8x3LcLXL+FfKV+O+t8vnAkxI6pKmh1a4n8RkkES6CnyvOYX2MR4+RbBeQzA1wCS7EEpETBPCCUf7uyaTPba0pdWxgTYBh7j0VcYzoFTmCjwlpPsWPYrTvgn52SKnI7bPWnOG1w7jAcZhALjrIkvgXidDO8VnjlkKFYtyAmHyKMuQIjdN8ea/mT7Kve7GAscKjaZNZIoEh89PMcSGQ6BuOTAmpbF6QU4kR8mGhqYJqdjViRqVYjokh+LwGDNzZgiNyrdDLjvmgHmzO4nXy3WSZXKZhYnJpxo20Ax/pYpiHbI89pW9OBYibx8cm/VwXwhK5T+7WLJGbbKsZr7WhxrqaNWYtwXHuerQf4mVUWba+aeuJ70+od3+WafxzTmbdiaXai86mN8gGLaxxLDUsLJH/bdF1t62o1K8zrkXRYBbN0vzOTS/Bx0DP30t/cPBVEk/29Seio/3b2seDMTHOxyAKUS7MvmlGqnApyfsbVvXQVroTifX3/vaviYV/GfskEOJPpJ4lA/RbH4PmLT6ByPFy7HD/zPTIlvRIaAJLXRxjNgIRLmB+8ZGtd8aJVWBBfoSXF31DTM2qxM/naUHP2lzl1hX2ep2uob7MvNbt4Kwwn7sNQwoEQThC26TkKX3hz0bPYbRumNvpHDPBUrRySC6kZx6e/HQsE0Rb//nX4/Q7U3TpX3IyP75Fe39q9ZGCFKT8LcG9PWNHOo4E2hHj/Jzk9XsRsNFMDtuGdcWFQNaDpc2+mw1yQU4gIKVCGnrxEfojegvQRUB/dv2fZG2rA5mWCbAE3eK+peTuRc3Wigpr80PzNlxnu4Zz4N8Y4ereR3at2rH2ycYXgPRCn78/SJJ+8GnAzFSAjiynNu2KRasXsoKHncuCMe4MbR417YBXMayTfLSd3voWvYqed3hLajg0iOHWa+82kOnyzkL4FaCu5Bx6+aqF8vcvvptYnRr3M+Wjq4CUyz/S1lpjHXNhsLurOxQQxCwfEDjMBJC4ANfpihrETYR3aOptJc5qJTAbdGPmGTowRgdQXZjpWTd+3ErVtdvyG/9hCP0DHjbFK52QHRhA/5SHIRInn2x9GQXJBS+A5nWO5dsd3ZbWJigGndfiKCb5M5hKLJTyRsEZtLZv2Nn0HLQqjRqhJ9jd3tYXbY0PQJiEvWJzgRn5qsfgqNDVNTp9WEzcSBCYDpiCNESknSRfJw4KCNAwUz9Z1OUVGQHZGAzH4tIbI/v2JA8ii8IYJTBkHWzoqRhe2/5w2CL4QL6Vlwug7GtZT77W1XizThu1SRZogk3mxU2VTVUlTUXuOo8P5nErQQ9IYMQjNIZY9IUe7uF70bs7mMEKknesaebEnKk5ez+sGOt/j657P/+TzO5MSgtWpgkcShdLsavEJU/JSkl6gurQh0EPLpH4FIABm23tchZqtq1N3wXEnsthDPu4Ve71+oqa5cVrb4H74J7J5QdMEkMvKAtwg5Y01jqCDMDGuiz3LVm80OLmXCjfr4AFk94PSP5xaONj/nZ/G7osgJW2OYtiJP8T1rVEVjDdG2CCSuZni3MimUyRvsGIXTNSukv/IiQggbLow7Zn94+/FmkLtPjbpTaxDf22T7djUx9xBgxRh+gR5DlDXrE80jgIU+S99468UPD+TOG1c/NQkWSO75iTnskcmqh9Ov+jzHUXBLCEIclSwLxFjGO4iXh3LNZFvI63iW7egzSXQIBemNnL84FQiH8Kfs1u4+B2MDANnhKS/0fWytmADXgYNoVQKSj4gZQCBJL/Ec+P0HI0JxJL4FmphZd/BuRkKdJJtKLeZzetND/WON+tR2Ojtsdyg/CDrFfMRTXDh/vTT7ZNtqUTLV3x3kA6EIaDgGK1D6XrXGAr5Tmb5Ctvl58M9dgxZzyshbOwxRymWs2XbDVLBJO5I8LT8CyQ5+AZdr+SiT9tmsmcmFEf/m0O/Tm9UAtRPsoHpe1/zVzxf6Os+rk+RVkZLj95jreec3ImlIpOcPGexGVv3kdVQGgB0Bz6rVGqEoKdH3b/aZReFNshSKcX1tm6SpS6WqDU1VVYVyvEsq/U1dPLKgacs6xYvoqskNdoKq+68VqZYEFdPwWvkrwdJ86fUR86cb5W8Y+mEzo5ySH4AksH5WSnvDopn60oEkWRi6wALUBakf9qAmLmzMzvlGog+gU/ZkbA7+9o74mMC3El40RBDHYqpGdWA7lzjWw5lOBro1CmqFufz8h6OEXYuSQ2Ae1stwuMBJQmssfnlKdOlqLW4BdnfHiDQCzQiiwqgW4g6a9SSEeujrkJsWYTFPM1Amafz+fUY27Ndm7zMj9XlnYQl9aVu5ULsIKNZ7f/57m4Go8fc7oFJEEKCeIzVHMM1aiW6qOt4CPADZ20+b2iT+RmuY0UEHj6fuZ9zASURqKU7h9onQESyC5UFIIdWUTwu8DAVuLDlMEGvhQMIHp8ZsJ5lVUSt5+JdI86Ggswm7OvRy6+Rz7/Z/JdlcsxJboqMvOgi0PHCkIwnJa24EIVN0uCIHVjrgd8vBVtV8oWYoQV8ya+Hmk2k20T+nzmL7wtcD3QzcU4iQkwSOQ3EmGzbDt5rYaNVmQ2Q5AXQ1JIRMoidH6DHb2oWcq4JmjidLAZQb9G6TqhNQ1gU7S3Yk06zU8rlHHqgg5hDAvNJGzlxiGFN0edEuQDCOlBRnQqYh0fjxj99ggGVEAKoygW6SK6AZXZDvlsTfeD6UIe9YMLqbfNZ2WsnJnjwKv/gnUrLIiMwSj/BOyHQW4EGQwihh9NjxGFhuar0cA2wRUkzrD8bfoSUub3fq/ZuW9y+yy0KP9Kkt8/3DuReFxAKe/3h9rxSWZD0ZVrYxZgsaiHW/hmZZGzaOAzAevHX+C5MHIRJBwQ94VdgpO3M97qSmK3lm+uqiCFj9xOCwVeEw51BtqFWDYVRdHfjgEQYtBHG6CIWw/rYD2UCcSCl+ZFr/kU0PTlTnEJJuiSvFQtDyKAcfJm2WyzVVSsNy5idRzwXgNWciVaXBITLcg7Ze4Tl564VbsWWXMF4gRg4nCnEkfpiKRZ1Jx2cLKM24Eyc8XDD99z0+U1FXhx/qd0BEIk3O/vLYh9SepPedvAXIdhqmRNheD8QkmyPvMpJuEIwACQGU7iYjZCz5P/VH+JxjDPVcWiyHAyhRgqrKIxWG89qg+P/xRrRfhFlcRNKvs6CkSJ/jblARi+saQCogUQDna1v0F6/oKJdoXm1fcOvRAMDg4OJ/f5W7KxzvPBbgyhECM4kB03MuuyWAy7Mu+gin1tV87BkFbZdUEgYjuAVgBtzgrUkP8N2oLVJOLirQW+XBtwrL3ca3Lrfc7iy1dsuNxm5wxwF0euxVzV8EKmO/NbtL1falW6qwxejcjmXFmHC2FY1GKoyTimeYXxEVIhqzSiU8jWftQ3fvxQRIwM/G7Pwb8monwSXuZ/janLsYTjTvad/Fjp2Hn14CV5bsdo5rxR9fA79A/bcpDKXan1YRVXiJplmb3W3Oz2ehkX1wjeVuiCLUcpYjSkTFEzEB2YrU6Trqeucz0WkY3G0tqH1xTe5LiO84ALX6vC5elK0lU52PA4cvowBPih4FDbYH9QKdKI0aJX8CarB/VTQJKITSEhJoWlaLSjIzWKHEvp4Ygk7IPmgpOa1VoI8Yha0mjHh4nx1t1bnzqILm83xev8rqAJy5H9MXkt4yVeR+kmk73JrHMZoAgMW2CG5F1oH8ucN0aXz0T1cyZfpfXv5n/ywYk7tKwSFCyDTI2x+8zgU9INkAD2c+0i0wjcT05eDizxNiIbaIK7+gt3NbU6U752oOcC/Q69EOgV8P6a/fe1eHgn7wDiACcGer2n2tJk9CHQoa351DNtrw/Qs/1KEzb/eMAjegpQzVxkZ7Fmgvy5Fmp9jZYljb8wby6rbNI12JUmrEWyR42tnlbUvmk+LPUQsWWYflfZshIRIwYmR7qHg8hh0DjT0FIOq0neJbi+vHH1lvdyMpfTc7WItIzHvWltYfVCp4uzcXbARAw1txhbXGkYgnZ/d3CApD9o3ToykkjEIy3BdDQudgLZnrIwczlOg9CGVa3JYWmERlLf0tw90de/tQCGdP2lSUOw0a/sNLrBw/3MfsXtm35qLfco7b7yQEO8nnQv31PyiiKwsfQ9GX68c2o8GmlvVzr1plYPpodZibRTnhh+B/naghP3aIvZCqTtLmDdjO1UBzyd28HF2AArMbxPMetyuZj1ort4n2TqLk8ptMHCWnxkhXV1+caV5etK74e7ZqPt74ON/H20/X2wkWy0+UnQy1sK/kn0S2h4SUjQn2RehRjJPxZwC94CBsqZzQy5Qf7/tBefnXevfYw+NkYvHVNPvEv5naf7ZN2KB8ruhEegfhscgk5/T3CQV9plWAB49DZ5lh/2j4T3J8Z6WvYJQVxCGC0X5Py2qaLeJUCYXBfanePk8y1X3VT7E28jUwMNsCpe2l4VtqaMCVevYcCFlzkKz/ft3v4Vw5fTZpQInMtjrS8ut97msXA1nFIoXYraEILt/mjLVGf/lnbSEesJKZt8PSZ/KclbIxeNZXbPUMeY+onP6JbPcujZ8o3asKRpC7e0QQ/pMybqNtdVblw7VrOjoBu6ol3pyfHew12fhbZE9/fSi0gnzdsPmqcQocXAbDlEBgiPLGdAKBDFNpqfek5qj7e240pjTJghTq/G4DQboI7UtFp6RnsHxwtgZmPPWnEzNFkb9JW1ps3N9/maTVfjFXEB1VCIz894ENFYF+v2mXlGYpTm0XYs3AyygTtPLmx8yNlk1RvBAQ6/UyB5j8hF4/SW8UzO2JzImw0Yg/SZbYjTjNmx2V3pquEYe0VVeVWz3u7gqtC81bwbif8fuVwQelpghHQZWhqL68rLC5D/Ov1u1ASJ6unmY/Af8P6+7pcFPz0rswQ6ocUUM6PaNjpcVkQYFoA09TR2FEE51LuqLUtq1qyqeki/0VmEJe263Xd/CGQnTA/FouQVOq4tlDe7HJqGiqLidbAWTFswz/v9bfG9bUdjgx397b29bT2BWQAguyBZllhP8iYxr/LGZ/Nq5xt05THfmyNT+W9lrnVot0J3a3t3urN9PDIqBAWlORv2cBYwoj70NRvuK123GUgz+AJIvVvFWHJr/5tth4LjJP9NIcIrpeSlx0aUnfpNDeVVXiyhWVh7Pv3WEP22vwNhLQtq+b8/BWv/JIvJPHmX5mHZa1uFfNqUdiCJhlQsmBSk8FDPX8kW+oNgXDOyf3RgRyQkBJBDjUFMh+LeyjWzDldRw501d5P8tzwmnwWs5LHxsj0FefKSLPLRs/4yJz0ZP9p17IG/5X9OH8p8oq1rNXUNDw73dxtSDQXlVVWVcxtPUu2LsONY+hkhkG1uRLwItlkrmM3LGjZXW9w+O4si2eqLJOdCWIiIcV78gDp4P8k/KWYFP+zbOLQcGsHoMlkrmmrWmJezbi7bh1YKM0nktuGf/eHIZGq4PZ1sSQRTQITcuN/ZPBfFudVn5XzXyMhYWKU8OmH5SPleBEX52/L60cyLY8oybJ/Rwtfv/Vv+X+nuzEdaoaG1uRORoXcARtkOU0sjkNLqqtK5TrlWm5/hs3eGqgtP/hw4c9HG5SuRE/jAy6ciSSzRpMeUrK8oryleM67bVZBGPp2Wnk7t35U+gFLsg36qIbvoKmjRwE5da1WrJWATjTw+Fccglam36UxVDdUbDGs9FoELeHBpabx4MNG5f3TraCwsBvkgEumwDUwkrxkBL/nnxClY33mc/uzYPW/1U/W6sfzPVPRH/22lJSD/9OSrjca0MzE3DW3JQCrSH94zRL+FtgtCrzvm63S2YgEj+X9Q+V0CPiPJ/487wezRofsWTmx6CjogHkpE+tJd21MH/QlOmZcRWIQ3YlZu7LYssVSaTA6HzWsHlOat0KFcClLRSUT0FjbsTtg7dKmKuClQFTT5O9oC/skJvIV9ZCQcSkQHOtKxfoVSeTGk3aymyldbD2Wkoc3cPdU5MrOtfmBjQSPUOWuNOqvFunJlZZXT1Wx3OA3KJo4YHNpGb99O5wd6lFxRqsUXBCBPdp5YoFePv/H+thz6I7s2oJQWfiDY2dW2PZxO7IQwiTCc+ctqZH7QUqu3e1A8eQVbkI1g+gTQC5I0TH+c2QHts1fnQP6xw8tm+0/mL/ZZBK4T+rK25pgamZTJPyIL5KiGU9qXHlg0WXJIoa4fZ0FkzqvHxGP0W6/TVQgimE0qO8rs1kgoJQaCXX00hwzT7wdjmi0Hxwe/KVFJifwTTe3F7lok+UrjjpGsUXcL/CuXcBUZH626FZPOVoEsqhGaYo0xS4sl7egD5Od8S2i6e2gmdXgWzIgCZgWng9mXWBZPTn6BZZ+fjmVNoPPp3RXWGn1dJXE5OFFjfby47wF4ADbWlm4mdjsyIJ6fC6K71Rds7q1sLVK6/C6z2Wiy1lmLPWZXpbJT4fedlvKtL8T6WhMBf1AMQisEm0EHLs7JOsBrvEt3E6mUz3NXgZ0YU45UQd4zWRY0Jz2ROCa8Tr/1/2Tn/wcjnUqG5RX3P4YIzIQVp2SNdKzt8N8Z6UHYWFNa8nVj9FS3bchyPx+30l6zsPkRxoFr5L40RlLhMqjTRRQega5wbyAW7Ygm29EkARPa3YUo6CWe0rvlNFLLWWOsUMj5KJJX2v5+Dp3MLNT++Gz5fvlV7SVn55XLhTO0QDGWOnPVuzn9dFD7NYNLQSRKafAb0QQIfZyXMclnnSzyuYjP6WWrvhy+O208LpTbJmwBZWtpnB2eHelLos7kPCFSn1vDm1hU3vxWeocgAHRVd9sT3gDXhkaN8q3Ssa6XXhp+n8RGgltgGN77L/Y/S/6LEQRq6ojDqbGNlfeu+CJsjJY660aP0V33Zdhk5uw4xf0ti501lrrGNZtL1+GvNyUtPb6gO80GQZTS6XdJ8lB8F9r0H1L/a76wkCLfcmhSXqr9+r7YbCu9PreWN3LKGFPHB7voiqcoHxxU9mjcolJDaiwWR7PTaXO5iKGvqusfi7lZek1m+XV3oC/R0SqJaCnW56uQr7c6Pb4mpgo9DeBtIpybVRrSHj8bhdk9O/JhJqlw5Bszl42pXz1G76CqnK9Efnc/PXuCXs3Y4+m2gY7Ojmg8mBDjSvx4Ym5S7arVQ0kWeie6h6d2lg2sLLBm47HCXW1sqHM6kA2GfVFr0hY2x3TB2lMeIN/ggq8HUgADCRHVjIFUeos8ATWgxCfi4v2OMdr6bu/YnH2fVb9Cv/VK7W6szmfT67WbayqL5oKZ9wSsqeJdDS/AR3B4fPCZaFcgCUNcAvxsyDGo665IEEvQKWwOlYS8vCNM8j92hL1hSJAdU0N7tg7qvBwAi7jtQ9A2Om0G0BNd0preku4dLVD4PytZpzd0PgSPwnp9TUVjvbEMhe3GVH2XqaM5DGMussUd4CIekv/XNmeiGSlrs8fsbNaVl5sLUZfVS4aIR7SHOIFTmoE8ESEgSgIatgvLYJe5pQ5p1N1YweUZ9YHXd76e05PRavfk7hSBRS1oftBwOymVLwSjBkzACq7Ypi01u1FE9sTSLUNd4zuT2wVJUNhU0M1blXrLcYzL53CZPI66teXVFR5vlh81gbcNOmfVE+GDiQOdH5FReulnoPH7w20IbbOtrhW5q1EZzIUJ+jOkYK3NURPfCGab28x4vAbzQmK4pRA0i7OUH4MaJRmmdLbTN2ofz5w7jiRw6g3nsfw/ZjZm7tZawepxOB0OXtog36S/2XQfUhBvs8Hl0jXpLaXIrO1DMEOUTigfCkxEx4feRTLfMiWEEBd3lYwsgSrQWXWG+oaGDdZ138jzolOp4XQ6mYwHWoBIuTHBbZwLOs6rW1J9m73MU5rdS8AE0CNP8fDuYGmqodectg+4e2EGBjp6ugKBgITSIFne37gDkUhAUToe751KvzXb+wCl9wGzsE3sRe4ml8neYLU1s1+KUVSPBF6jBxJz28wR0xdgOudPbzpfo9cfRG3jsWufhd3bpt5Nb42PJg7E9waRTZKx5onSqqrqygJFE4VdffXRRqhERW336GovK31wQ63ZZvPp0QD1La5e4ktwUWgTJiPjY5+G2oPtKJPzjyGJjiII7CweWgG1WUJcWlu/zrI625D7uqFaDvdvH4oGssQ7DgEnrsnB2nw2zutqcutI1W32zZ4KtD7n4tBr5Pr9G35dkEfvV8g9lsnJbW/aj31wnJYezP8ssww9a1J0lcllXiJbgGWVomIm0Oh1apo2NOkrgKysH947N36WOBEd2/IbJHKnnLqjfHSJsm8BHnaTo6KyYaXT6LN5jLOuJf9j39bcYdvsxaf9jHViGbXC9U9tfBf2QU9v11Db5l1NhzBnA+iYZ+OTT/UcIbHB+FR8d/xAoBUmYbK5tzbIgDIxVQ0VdZieNskedZIufawRNivhjAXMaHrIXl1z8+aNq9BMVr8tpE96WmCcKCAoRKXx/fQx6Cbob2NB3miWsqn3bs2QAzkHT5VHjhejyX3bnzwCg9Cqx5vYWRvK28oS+W5diam6yYwywg02wS16BYeyJ6AUGPxfQJDEL4S9KVG3qb6suAAsoiVoSzT0mJSuiYCyqD/Sk27rby8drtkH26Av2ddBBnt7x2PbkLyKChB4eZR3yAl8VsuKVQ8twsDSt8MQgTAfRU3Vspuu8Uejg509HeEAFo4oBkSIC3kD2WEyUudsMEApaUiZexDhJ7eXjC0pqISq5oZalwtBwG0aKepbpUzvc25urXt9VdVaq95cyloIeMQsEqxR5P3Vp9DA+NlqxAN627H8DzMbvgwcxuOuq5DP199kvA/YxqrqzStPgcEsFpDAOILBexjpbUqk/wXhLcSH4YmSoSXotSar3lD3v4GED0+HhPiimfLn0QIJISYORNMpNBvnqmacpOHOxxY/ZnFi/URUdeXawCnY/S7RhjgO2Q3OWXeR/N/NegyUVgzGS7PbarNYvEoVM4q2oCNVNWmcUTYn+sMjqaeGdh/seDbY/ofMBSgXWk0KYtxjf4u2jzW/NSc/vdWujSsMDqRQsqdvyyiGcRS1e8gX8KZM7YaAN+6JeMNsDBeWjfBXkk881fYc70e3I3K5BSso8O+12TatqVqm1AKDvzRcG7QJRiDNfCymSXcODz6x6+hzIyND46n2dH+kJRAVlYlYURFsxJprwD+7bIZKq9mG9Wyf0m1wo6GcUl03yU/r0s0tyoScF5nWKte6Dablp3bk3BLXAi0Y9350Xnt/YgJDtYUZcuElBlwpJoAZCZylWddUVVO46o75ZeXlxYZGXY2tyedhT0v9vLw3+OnMdbMz5pcdztnFa8dhlH8GnoWtHBKuU5sEgU7liTFclVEtdCTZePrQtEjnZvb+12h2CJ7iX4FOrp0hBxypJqTVBlbHKINb/GnD01+bZw59dRz4v59n/obBioSi6HbDuyfO1qszL51Yp8XCzDKcx3sy8p8P4VWUuU1OYHuA/gZIRg1+Za9BEJG4+eWbTyzAmwloEx6ZEpYghd2iYu0+qdFukS/qlQnPEdYGslueK2uALwA+8+1MDN9UxpUm6Mi7dGRMvfvTjPXTLyeWbpKdWmjmzJzTcX31NcULCq+9deFNGOA2UF52cAk3tax8HugZBA3dwkfCr3S+OfDkAar53dHfR5QMDGZ7oRJ8ZN11O8g5RL5AXqJ1BrhEQSg3CiClXojv8rdhKIV43oRZkx2gVDoONsJY5O+C5u5HAHUMn91HCXt4y6nf8fgq5R8C63dxXOq0WXxRjBExQfFzLx9SBn45rxF8uL5rYebEtWhS754c6r7g1NGd0w4ENQoNWUECyiZzkIYyq3ggwAVldUj+PknKXo3d2uhFEQe+r+xIxbA8bOOnYAq2zrL3U8Qo4BMwJOpz63mr4BU5YEVOYMKbT1zACp6AAAZ8YZK4gZM/OfkZ4yP6qkrjWswan7IvxHqQeCmtUp4T3Tx08DF+AIsC2Ya3GFQCZAO8SS1v0A1vzNl3qGbk/QlplO6f9o5MT+T/5k5af+Jqrde6Sb4gi3KYohivyiR7IB3qi3RKfkka4uk6oL+EbVwbqxyM4JHue5YzDgIukfP/18g+8MEtocnIXjGJwCEoe32slODl7wM5eVsu2gCvT6STl2sTs/tqghgRYiSQpofBq9fgGlglMWbPSuDlJJL/2zsF/wT6Qjx13sCc24wp7q4l3kb5F6C5eFXW1eHRL3/BmvtlRPj0t1kWKcOGsxMeRL5FTmppXy5NI/6L2fFRXsDyvk8Mbac/+/IKtlw7WpJhPT7rUkudFxcoXwTkEpAvA831DB+cq/SkQmKnv01Q5i9EZX/V58ePIUcBn1u5IOerki9XZOrsZr8yT6/sFe7ktf/jYXTlsMz3MgORcUIvzaUFQWTpDCN//+RuV/P/5TB6gBZkpsWgPyiJyrx4j9AJJJDbjoEUSAvKMQ/xi+FQB8hvoQ1/838AWcp4OGVgf+Z1xN9bZ+LP5ZzQZ1ZpHX62pSCOkSEi+PbQCggpM7+YFPJYrtyPdI5ROuw+XzNiCT5CwESvll9hGCJfJV+oufH2ux9kGZ+P4760Ox3NpYewqiA++9+hRuBnd2IZjBCOczXUL2rcVFRepy92POi1c3IOdzOsgI2I/YT+gs7VvP3ai09n2ZKgnCqUC+g2TiD0glx6AReGAd8eT6+jtThgFvVQByZfg3IMZwe6+eW35/TNUPKp80n65O78T6YzQ9oAJgdK+UR8686B3eicfn1yc6QRsasYyjmLQhX+6l55uzwNnM/r8Xk5m6+M3YhcmwXWc+qghUvZ7CW7YDd/AA7AwW880rMRSk870vMcTYcGO94ZPb5nV1fXaHorjMOYHjZhwmZP2rhFthXRF+Ms6A+I3QhkByrG18ccWAVMQHBFTL2zUFe4ougukv9J4zprJVYF/iwUln1I5I7rn9g4aEpWhqvgXli+umql3dC8GZzEKUIC6fx30QzLxv8yo+76G9W9TFV/y6GZE2dqwcvY3NXEvlYDSsuMk89rli+fZ5DVWOWVtoOLd/Oe8Irt65+v63D1ePp8pIW1r9e4q31WjvnHlhGVCoixnp3JOPA/OOzUckRqQ3mCfyS7Qxp6ZufHT255KdIupaENfnPR/iuiHt6rnOvipTapMzYNQlgi/2hM3MGWQCmQh3Mfgfv5TTxp/up5g67cXZNgnTtfHtHqfmmaj7TXlVvtr40Y4nWtjg4Yha2Jma7RzpHJnj3xhL9TlNDIuR/x2ufsexphPqw2LK0qqSlb2fCIizhYTd5rMPPXCfry2G9m5uz88K7fbfld/ue0kl6hBV/jL/9Z8PwPTPSV4JE63uZ5Phv4EvRKcZGeO3D8wyF6DolujXSm2uMtqUhSGY4T/XE+kGWFvDInxwQ43g7KkRRl0Ikrd9dWGVZ4mhmnp9FwV93KTRvr6mtN5Q4PPhkHZB8t1RykVp85HAgH2oR9f2dee9a8JUAWonkX8Bu/wbx9MMzGuQgCkKKpbCs3yDdVy9+qvxwTnDMEnVJxm2Gc3U+gV+wJjSAyhwaEBLSR6FkwbuuuDvh4IzQgr8v1ej1OZCduiQlzHUxIDzVgYy2+ZpL/uauEMUIZAfmM5ws/bUbgssNrmQ9G57y1bYyqaqcyP9yqHBh778TNmQ4tLKpfULfSXOkyF91bvNDaaKkyldmqXTUeffYszQe5bytz+FhzPhCFV+g1ypQW0kth9oAhin+GcdsbDJs9LreN4epZ4oEmTo/M08ArNTfaFoqlB9I9ew4eONLRkx4m+X8e29/2OOyAI6UHCkdWDqyJ3wZFsMlVZl/Z/FjNpopVxWsX2h4iPh3ngFpeD27BFqgI1XUu6nw4XCNVow4XbIIBvIRdeVYtXw8Mb1eKD2I5tHHKjCzvFX28jmdYN8OLzDzCFXMl4CFgF7FSvg+aP6DVxYDgDwwILUKb0AodMMCMeffgk7lfwECaggGIoCD4ePzoMzumh/e27gTywcFl187N+0t2UkNpBg+/fXRbTuaNzI+02ZOwBtOi2kcqV5P+s7hhNuFr1729+PFrlCBG2JLPs14on6mXz8bSggooixkeEr/pwMI/AM2BT46jqgLBxzPxjT0Ve4EEc1EO9cZ7/EpX3Q9BD9K2bOPK6TYaLUYsmBxgwXeEPYPsE4TriiY0M0+Ovdr2SnZ4HKWOB29CThbJPVroDQwn9sRm4gOp7qHpmb5t8FsQLxHkc/hivlKhXc1Wi4OU1G42ljj1Xh1jgiVQOQYHSN6APE9HHxql77xC7eNzOicyc1+rejH/ZL9cmBVhCg8iz9CAxu9vu5WqFIkIEYGe00a/9Xugl8J+3XTVALHGNfmfPz219VmUKMcfefymrEG8UOotba6sszga6+2Wio11K0yFxGuSr/3Pf0OfKkNjqHXosRMa7RKoczn0rDLw54Oa7cwITECb1Bsm+Sc7G2N1sI54zvLI33lQ/pacD/dD0QwcVebGeEmIP0ODgfYResZTb7zQFs0eKiBboccQrlBOZ3rBCUre2Finc7HuseIa4vFqGkJGfwVWeCOl76rpH8dy6B8/1Sqj/JyDcEaPQdM4r/7n3lL0J6YsmPz2uCKzeFFIBqN9ba/H94SmpWnCh/hAoGXkj9v//ARVRTuDStMMoy6rHp0K11XmoVzmqpK7Gwpr7ia2Wg0HgjAXWtwT7oEqenbx3geTHr5Z2Ru05d5uv/uB6huQkiilzxnGEqaIDKR/IPh5KX3g8PgzQOj5vXK+/J25eVc5xjJvvW6YmTP62q8nj7+Tfzyz/MTlWoi7I3ZkpLuapavaG7KnnFzsauvmEnhUkaq811+aWN9dGLD4PaKLlNpKzZUNK4rWPGi916fnbKAT5o8s39XQaWv1jCiR2QFxfzqytWN4snN7z57U43AM3qzdunH3/LerdiNzDwtSIEQiiXiwQ5EYSMKSvpBvoD5uj7qiPpJ/3I9IHQIy0NrbOVf+7cl+jNDgeHx7+ujkoWc7ScSv6VvUVgJ3w12Vt5WXWywudx08DJXb4DDJu7fpSXrLyzT3sLp3a2gy53mKtXm0a2yyl0SCmh5HCzOBlSnOJ0PxQCiBXHyggi9GrmJgGuw2H4AtRmwxbwTjNB1LpeOD6T2xvTAGHe5efdAb8IVR1qVTCLKQcEnNkbLOutBSQOS+031fWelqW7OzCRpBFzIkzSTkdLg1NofJ7LTpqu3VUA3LhjZPGnss3Z5JeA+eHes/6A8pbQoCEW/AyXvAg05vWL/GdDsSj4cScIjkXSavHz2x9tnf6udsf5EumLQ8l5+hu058Vws63ipZlDmTKx6VVfJFlXK+Y5OvFCrhhpGlh6vH9J/UxVzIvNodKTOWyxqdzshuBkuwqk0h4N7s90b4vAxSE9FL/O5+c7unzR3h2nF1Svd2KNLdkRoKtwUS0A0RrEAhYh/Wd5THyQOdmvJoZdQnrOqom4QjMBSYiI0P/OnoZ6/uRhqhSZki3ARM8W1SPBYMiEE+TIY28JsK3LkmzE4XlkYP1i5UcghlJD8DAVaZD0oIKTGZ7bqJEPEEMKgbgKnmKkjeptkNFvHY86/PvJnzL2/iLpRFzVK5GnmChzfFrcr2V2s01CIGott20mXD9Du9NIcPzO4XEmW/sOCb9wtP3zz9X23BjNI9O+juMfXI67TzjRz68oml2g2e9bWb1s+7uVDObZC/697M1CApuCO1YLS41ZC2bVGyqQ2zqSNyqP+ZozMfj77a/WHoHcSPVkjB85Yn6sd1g02JDX4yO/NAnpELtFDhLXauZkyWRRxHYCW3atVKHgqATzweaOt6s/fAlm2dfZ3JDiTNyXWwmKySY9raHzcsLHusen11Ux1YUMW4Q5akYwS2w/bok+1vEj5Il4MmT16A4HGdXr3z9fTrR6Zy6LP0Si0qD/CY3DqbwWysrNho2KxoIgsXbJ8Lnf5IsH3gjfYX+mlusFcIoWpus8R1WPLNVrcFtY7F00Rq5JyGm+sfnB2IgcZoY9zSak66tihKrQc6A73xkdRgb3o4mooPKF8XwWBxzE4K0RUjL/4lqp+z6xjd+Prdv87/mP6W/kSb/wmYUWob4eGxTU/CECQiqVRXV/tkYu+pxm52M4LMDsxYH0MOY3I4bV7lKw28CeiFpJD0t5P8j8WYEMXbhbgQGzTtX9h6V8jBO3jUCV6Ih5/apZkY7mhJR0lE0nC+7LeuNLSZusd6hoZ6jInagkaodlab1zYsenRNudVVbUZx1fKcJr7LnwIsS2+cvifkc155UgOG2Rj5IrqltvRx0v0fGqwc/oIt9Gz7grl5O05cOqamvzpxo9YZcEUL0pBqjleJrj/Kw0prRO6W4/Zmj5N1YzHSJewdiGBhKRgkovDEM0eOHjm67ykk6NPy+Zru+R2LBCZoSTjibvJ8riD4s8KBQy3qjHji1nFWktdnnmEl82BxapFADLlOn8sDDpL3HNKa6/XqzNmvwrGcjO30TnR9lXwOKZF/7HVrGktqGqoRS22sHVaBoR/2nmr5jxyiZdAJreaImSenFu+Wf3LyNbDwxqRNaRPFpEg4GuXYXqoiXZ9oui2DzjEgR/c9w84FTvCKnn80+Hj6lO0/nXv8cqtJ2XmYm1eU0SrTPvn2V3E1X873sKfNfn0xRnu9/CelgaT0eEWIMcqJsrDQKtH1u+gv6VV76V0EQyYMQZJ/Z5spZiqoBovBVb1JvkQm8oXyDwrdjJvFdGRgJ31UM0l/GcgeMHALXiBfjtJcJhcdyVz3Ml314vt6dfq56O9f2ep/MYf2yEXaIehUltra0qccnm5ur4t7RPnhVzxifUyXdqVZpZLEsCoJ4WBb647Rqe3dJM5oelwhzPLdsE0URmFwk1CsTO55mnzKmIA37E4yWM0IHJl+aXd3uzngm/oKdGO68ozkSuoCK4Cg1OKMyNn9uZxfeXCII2gnZkGbKKBdy22oLAAb7xVcxObVXF0xfx7cBGWJ8q6GgDfgETgiolTS1BnrGvS19WX6Ik9pdnDHDVbeIriiG/vLt+lFlj4wX+m4eQJ2JDdmR7Pd60H3NQt1oi5Qm/QJXt4HxO502+re1g/P/adjF1vo56+oMzk9OZm7x7QQZP3euG6XA/UEjEpbg1NETD0DmkNKm0hoDSSwqEPSGbajTLwDfgmXgHwWuNnFzjUKX3dZlQ47OANcHJTdjWA0HG9vj4cGO2JoXTIErgZN/Y1lNz12MbHWgF2DvJEVvAF73KNs+rfGgi2tA0fpfvAT3v8H0ADHOhmb6V7nSu8qZE9GfK0KlMergkiv0tAP6W7oIHkGx+zIyK3v5hyUK7VfZAfrG6LfJr30TE1XdXvTHiDRXGR8fIufnjP4If0B0LPgg1UH57e4BAtvy04VeOFR56Mla5cSXU3DWkcZ4/nJyUuUnEvY2oFkzsiMaGG1foF9Q/MKU2VtfWNjvRVJM1QNOGZI6nlN+l0pFevte2rvthmYho5SWEXy5HkXjmYW79GPzRl8jt78Uv40bbxHix7z2/3eWRc57U67YYcrPTeuaBNhe2xqGuV5h6u9uYXxeyRG9Ary5W8zYm2buQsmSHZP3R9/8e2XP8X1J11pFKfHom4eAlwLRGKKbPAEzSGSP90Ya5DKEC8dnJm5xHjZ3U2XsE4sCcr8hJv3hdZ2l4w3ET9Lv3+Hn405A1awkAazqbEgb8Q+hjJFPXiUhl7PoQ/ZtQmM4YQ4E9nRMzr6xBMDL8LLMOzptXUTb+QwaJ7IBkaLlEyg7mt1SbYgkQty74CHkLwYWZ232XNv7aJHyuaZNrmULsm1h+d/hCz7XjqlBYOvwV1lfsBUWlVZU73ZWAbLoWoUnoBWsV3qTL6YGu/rJ909Q6lpfG+gFgpJ3s+UUKVXvpmezpmgY/hkPIZY5/Bo1xZJ4juwLE1kN384rmlezTXkMflGcGiaYvZ0QRuk48F2f/wQfUUUQZDgHXxhegopfxIrBNL6qFUkXkEP8oUgfx+5iIdtYppsOnN90/rltlpEPLwuuIKsstPiV/Zhs1vVx23HaMXB/L9mrsl8R4vsySsi+PIsRowhUo+MUtlk19dcvvS2RxutXguDFfXR8uFDc2E0Ojn6yRd7jp+c2nPcVza8FOrA6DLbyhtr1pkL/8U9x5p59mIvCvq/sogEkI1p3he95amyDwE/ncDgT0gH2h7fP/lWaiTUFd0W3xMYgR4yYR4rK6iurKmcm0fPdrxMD7+i3j2V0W3PyXCZh7UboNJS3VBSXbai8p7mEltF413EukGj2LjABdVhU2h9a9WAfcQX4yLQyrfwoVBP67Md24cnpICozKJJbtFSYM0tKip/wHAjY2KV3eJLX114vCHM8ngR/cJS+QywgyFua2UJ1gU+LCUC4ZiYDPZ10QKeB96Pnu2DMN8lHYofGN4xQ3bvGXoy+hxyO0Umv7np8O1AXpZvyqpL1u3arC+prGxudriM1pWV60z34NsM7+ZJeFoTPexvjQ+O/e7JA0dgH4yUI6nL+xClg1eX+f3YnJ0TmWWT+Ybn6V+0ccwyPhBsj6WSQQkVYhCrGHABX8wVM7WW9i5rX9x7OQlWy+fK/66546Y1K7KbbYqrXCFnROmW88rBH1pLvaKfhMs1bQ9239azAbOyvWrKlIWiOMZeLNAT7e4P9gghDuWijzeAF0kScIzT1aA3GpU9VXNbw86aA8ZddZ8Q55BGEKmLxvwhIbv1CFFXwKGwa47hbB65XPZ5MEQ30huKDhFdz6aWx2AtVNaby7x2BqUpcQa5eEEePSs7ZkEDegzf6eOWY6YJ+tDo2wfz/2anN2BZ+F+EX+08W7G3nuTLdk45Ye2Gy58v/o1N2cZDEsk5NlhXWFc4ipSeZFYOfNH3AF6JRNL5UQQ0h+H5of1PTE0N7WrdJ8WjO6ROqVvE/CQTzeMldeV15QVfy7FGzFQrY/E1113/q6uuq7MzBtYJxMdmN4TG6M+m6f0v04nwhLKDrWwC2pRmD8uynrrb5QPkZvltDjQ+MPqdfqNkC1mjppSrne3nBsPDY58StMnsLAmZKRtbWpD3rv29OcmZ8Sc/emLd23SlkvUuJetNEhO3thvjtVABBs7r0VtWVq+qrqtvanTWKTwiYe4ivoBbASteDIqhWHd8NNCrpL1yxCkAaUdSBy58MDdjdNqM7irMYE+dr5arIWBwuTSNNRWGaq+HU4Z3l0HNdnguO7kQCO1P79j7cjLNY3wSPuINOSWX6Aan1+VjGKu+bEX9IssDrjKmFqqggbeJRhIpaq0aMSe8CSapkEghJo6GtnT1j0gBnufZ1LqR8oOIFEiO4tLhtt3PjH6anGp9VZrkw7xy/H3KOlZyCieewBoxvd063jpGdWNzPn2z7o2hCXr9K/lv2qmFfqI9vGF8MXL7ZrfJ9K/pwJK18uXeUpL/lp21sIq3frWv9H0YgK5QX9vLO9+jP+ij+STKaFIINwLmaAB1AkS8rFFyCC4BUwf4oNgS2S72wxSB3zW8d1/aLdh5h9KbAR9X5q4y1FXVluuLoBCW924aqiNp44hxxELyd9sDrMQqxz7ND7trTY8a1xjLzFXmxuZmvc7s0mEqNfXCNIH9O+kPpccJNdNaLSywPta8kHC5LHgFt3Bf36Zx1wwX4JQJhO0du7f0pxJt4RRshcg65fsGD6MoPFfJPPW2N54bpedNpif2vpGTufLEPVrgLEtNC8wLlK/NwpxTvjMFil01zptq7llcMt9Y6q5Wms8GcEum1L2HHjtuCbFhzs8RSQRubuNVGuM8nxk/5JZAcSyvHL0XhHDHe6TrYz9oIpAWEyK9uJ9q6L8BPRtSXNSXsO4tn1jRvbin0otQgpq35VmSejb+hHICfrbDhjGpcePzMF4iT55E8tMjDUQGI73htkR6ZN/+kWcjfuWYGpBfnDzXDZp7g2u3wSskk0f/Xasc12LMpqtWPzCv3OiscTcq35vHKf5RkoDn0+/0/InM0E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* Font Awesome Pro 5.15.4 by @fontawesome - https://fontawesome.com
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* License - https://fontawesome.com/license (Commercial License)
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|
||
Pure v0.5.0
|
||
Copyright 2014 Yahoo! Inc. All rights reserved.
|
||
Licensed under the BSD License.
|
||
https://github.com/yui/pure/blob/master/LICENSE.md
|
||
*//*!
|
||
Pure v0.5.0
|
||
Copyright 2014 Yahoo! Inc. All rights reserved.
|
||
Licensed under the BSD License.
|
||
https://github.com/yui/pure/blob/master/LICENSE.md
|
||
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Animate.css - http://daneden.me/animate
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Licensed under the MIT license - http://opensource.org/licenses/MIT
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Copyright (c) 2013 Daniel Eden
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<style media="screen, print">/*!
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* jQuery UI CSS Framework 1.8.19
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*
|
||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
|
||
* Dual licensed under the MIT or GPL Version 2 licenses.
|
||
* http://jquery.org/license
|
||
*
|
||
* http://docs.jquery.com/UI/Theming/API
|
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*//*!
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||
* jQuery UI CSS Framework 1.8.19
|
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*
|
||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
|
||
* Dual licensed under the MIT or GPL Version 2 licenses.
|
||
* http://jquery.org/license
|
||
*
|
||
* http://docs.jquery.com/UI/Theming/API
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*
|
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*//*!
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* jQuery UI Resizable 1.8.19
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*
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||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
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* Dual licensed under the MIT or GPL Version 2 licenses.
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||
* http://jquery.org/license
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*
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* http://docs.jquery.com/UI/Resizable#theming
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*//*!
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* jQuery UI Selectable 1.8.19
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*
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||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
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||
* Dual licensed under the MIT or GPL Version 2 licenses.
|
||
* http://jquery.org/license
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*
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* http://docs.jquery.com/UI/Selectable#theming
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*//*!
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* jQuery UI Accordion 1.8.19
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*
|
||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
|
||
* Dual licensed under the MIT or GPL Version 2 licenses.
|
||
* http://jquery.org/license
|
||
*
|
||
* http://docs.jquery.com/UI/Accordion#theming
|
||
*//*!
|
||
* jQuery UI Autocomplete 1.8.19
|
||
*
|
||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
|
||
* Dual licensed under the MIT or GPL Version 2 licenses.
|
||
* http://jquery.org/license
|
||
*
|
||
* http://docs.jquery.com/UI/Autocomplete#theming
|
||
*//*!
|
||
* jQuery UI Button 1.8.19
|
||
*
|
||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
|
||
* Dual licensed under the MIT or GPL Version 2 licenses.
|
||
* http://jquery.org/license
|
||
*
|
||
* http://docs.jquery.com/UI/Button#theming
|
||
*//*!
|
||
* jQuery UI Dialog 1.8.19
|
||
*
|
||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
|
||
* Dual licensed under the MIT or GPL Version 2 licenses.
|
||
* http://jquery.org/license
|
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*
|
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* http://docs.jquery.com/UI/Dialog#theming
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*//*!
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* jQuery UI Slider 1.8.19
|
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*
|
||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
|
||
* Dual licensed under the MIT or GPL Version 2 licenses.
|
||
* http://jquery.org/license
|
||
*
|
||
* http://docs.jquery.com/UI/Slider#theming
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*//*!
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* jQuery UI Tabs 1.8.19
|
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*
|
||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
|
||
* Dual licensed under the MIT or GPL Version 2 licenses.
|
||
* http://jquery.org/license
|
||
*
|
||
* http://docs.jquery.com/UI/Tabs#theming
|
||
*//*!
|
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* jQuery UI Datepicker 1.8.19
|
||
*
|
||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
|
||
* Dual licensed under the MIT or GPL Version 2 licenses.
|
||
* http://jquery.org/license
|
||
*
|
||
* http://docs.jquery.com/UI/Datepicker#theming
|
||
*//*!
|
||
* jQuery UI Progressbar 1.8.19
|
||
*
|
||
* Copyright 2012, AUTHORS.txt (http://jqueryui.com/about)
|
||
* Dual licensed under the MIT or GPL Version 2 licenses.
|
||
* http://jquery.org/license
|
||
*
|
||
* http://docs.jquery.com/UI/Progressbar#theming
|
||
*/</style>
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<div class="hide u-hide-important col Notification Notification--global Notification--fixed sf-hidden">
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_ngcontent-bgi-c212 class=hide-mobile _nghost-bgi-c164><div _ngcontent-bgi-c164 class=toc-container><div _ngcontent-bgi-c164 class=toc-heading>Document Sections</div><ul _ngcontent-bgi-c164 class=toc-list><li _ngcontent-bgi-c164 class=toc-list-item><a _ngcontent-bgi-c164 class=toc-list-link tabindex=0><div _ngcontent-bgi-c164 class=toc-list-icon>I.</div><div _ngcontent-bgi-c164 class=toc-list-icon></div><div _ngcontent-bgi-c164>Introduction</div></a><li _ngcontent-bgi-c164 class=toc-list-item><a _ngcontent-bgi-c164 class=toc-list-link tabindex=0><div _ngcontent-bgi-c164 class=toc-list-icon>II.</div><div _ngcontent-bgi-c164 class=toc-list-icon></div><div _ngcontent-bgi-c164>Background on Eye Tracking</div></a><li _ngcontent-bgi-c164 class=toc-list-item><a _ngcontent-bgi-c164 class=toc-list-link tabindex=0><div _ngcontent-bgi-c164 class=toc-list-icon>III.</div><div _ngcontent-bgi-c164 class=toc-list-icon></div><div _ngcontent-bgi-c164>Previous Eye-Tracking Research in SE</div></a><li _ngcontent-bgi-c164 class=toc-list-item><a _ngcontent-bgi-c164 class=toc-list-link tabindex=0><div _ngcontent-bgi-c164 class=toc-list-icon>IV.</div><div _ngcontent-bgi-c164 class=toc-list-icon></div><div _ngcontent-bgi-c164>Visual Effort Metrics</div></a><li _ngcontent-bgi-c164 class=toc-list-item><a _ngcontent-bgi-c164 class=toc-list-link tabindex=0><div _ngcontent-bgi-c164 class=toc-list-icon>V.</div><div _ngcontent-bgi-c164 class=toc-list-icon></div><div _ngcontent-bgi-c164>Discussion</div></a></ul><button _ngcontent-bgi-c164 class=toc-show-more-btn><span _ngcontent-bgi-c164>Show Full Outline</span><i _ngcontent-bgi-c164 class="fa fa-caret-down"></i></button></div></xpl-full-text-toc><div _ngcontent-bgi-c212 routerlinkactive=active class=browse-pub-tab><a _ngcontent-bgi-c212 class=document-tab-link href=https://ieeexplore.ieee.org/document/7467288/authors>Authors</a></div><div _ngcontent-bgi-c212 routerlinkactive=active class=browse-pub-tab><a _ngcontent-bgi-c212 class=document-tab-link href=https://ieeexplore.ieee.org/document/7467288/figures>Figures</a></div><div _ngcontent-bgi-c212 routerlinkactive=active class=browse-pub-tab><a _ngcontent-bgi-c212 class=document-tab-link href=https://ieeexplore.ieee.org/document/7467288/references>References</a></div><div _ngcontent-bgi-c212 routerlinkactive=active class=browse-pub-tab><a _ngcontent-bgi-c212 class=document-tab-link href=https://ieeexplore.ieee.org/document/7467288/citations>Citations</a></div><div _ngcontent-bgi-c212 routerlinkactive=active class=browse-pub-tab><a _ngcontent-bgi-c212 class=document-tab-link href=https://ieeexplore.ieee.org/document/7467288/keywords>Keywords</a></div><div _ngcontent-bgi-c212 routerlinkactive=active class=browse-pub-tab><a _ngcontent-bgi-c212 class=document-tab-link href=https://ieeexplore.ieee.org/document/7467288/metrics>Metrics</a></div><div _ngcontent-bgi-c212 routerlinkactive=active class="browse-pub-tab similar sf-hidden"></div></div></nav></div></div></div><div _ngcontent-bgi-c212 class="document-main-content-container col-19-24"><xpl-left-side-bar _ngcontent-bgi-c212 _nghost-bgi-c166><div _ngcontent-bgi-c166 xplscrollsnapmigr scrollreset=true offsetfrom=100 fromelementid=mobile-tab-pane tillelementid=full-text-footer offsetto=-800 cssclasstostick=document-mobile-leftrail-stick class="col-2 col-actions ng-col-actions hide-desktop stats-document-container-lh u-printing-invisible-ie u-printing-invisible-ff col-actions-mobile-closed ng-col-actions-mobile-closed sf-hidden"></div></xpl-left-side-bar><section _ngcontent-bgi-c212 class="tab-pane col-24-24 u-printing-display-inline-ie u-printing-display-inline-ff"><div _ngcontent-bgi-c212 id=mobile-tab-pane></div><div _ngcontent-bgi-c212 class=document-main-left-trail-content><div _ngcontent-bgi-c212><router-outlet _ngcontent-bgi-c212></router-outlet><xpl-document-abstract _nghost-bgi-c170><section _ngcontent-bgi-c170 class="document-abstract document-tab"><div _ngcontent-bgi-c170 class="abstract-mobile-div hide-desktop sf-hidden"></div><div _ngcontent-bgi-c170 class="abstract-desktop-div hide-mobile text-base-md-lh"><div _ngcontent-bgi-c170 class="abstract-text row g-0"><div _ngcontent-bgi-c170 class=col-12><div _ngcontent-bgi-c170 class=u-mb-1><strong _ngcontent-bgi-c170> Abstract:</strong><div _ngcontent-bgi-c170 xplmathjax>Eye-tracking studies are getting more prevalent in software engineering. Researchers often use different metrics when publishing their results in eye-tracking studies. Even when the same metrics are used, they are given different names, causing difficulties in comparing studies. To encourage replications and facilitate advancing the state of the art, it is important that the metrics used by researchers be clearly and consistently defined in the literature. There is therefore a need for a survey of eye-tracking metrics to support the (future) goal of standardizing eye-tracking metrics. This paper seeks to bring awareness to the use of different metrics along with practical suggestions on using them. It compares and contrasts various eye-tracking metrics used in software engineering. It also provides definitions for common metrics and discusses some metrics that the software engineering community might borrow from other fields.</div></div></div></div><div _ngcontent-bgi-c170 data-tealium_data='{"docType": "Conference"}' class="u-pb-1 stats-document-abstract-publishedIn"><strong _ngcontent-bgi-c170>Published in: </strong><a _ngcontent-bgi-c170 href=https://ieeexplore.ieee.org/xpl/conhome/7467057/proceeding>2015 Asia-Pacific Software Engineering Conference (APSEC)</a></div><div _ngcontent-bgi-c170 class="row g-0 u-pt-1"><div _ngcontent-bgi-c170 class=col-6><div _ngcontent-bgi-c170 class="u-pb-1 doc-abstract-confdate"><strong _ngcontent-bgi-c170>Date of Conference: </strong> 01-04 December 2015 </div><div _ngcontent-bgi-c170 class="u-pb-1 doc-abstract-dateadded"><strong _ngcontent-bgi-c170>Date Added to IEEE <i _ngcontent-bgi-c170>Xplore</i>: </strong> 12 May 2016 </div><div _ngcontent-bgi-c170 class=u-pb-1><div _ngcontent-bgi-c170><div _ngcontent-bgi-c170><strong _ngcontent-bgi-c170>Electronic ISBN:</strong><span _ngcontent-bgi-c170 class=isbn-value>978-1-4673-9644-8</span></div></div></div><div _ngcontent-bgi-c170 class=u-pb-1><div _ngcontent-bgi-c170><div _ngcontent-bgi-c170><strong _ngcontent-bgi-c170>Electronic ISSN:</strong> 1530-1362 </div></div></div></div><div _ngcontent-bgi-c170 class=col-6><div _ngcontent-bgi-c170 class=u-pb-1><strong _ngcontent-bgi-c170>INSPEC Accession Number: </strong> 15988041 </div><div _ngcontent-bgi-c170 class="u-pb-1 stats-document-abstract-doi"><strong _ngcontent-bgi-c170>DOI: </strong><a _ngcontent-bgi-c170 append-to-href="?src=document" target=_blank href=https://doi.org/10.1109/APSEC.2015.53>10.1109/APSEC.2015.53</a></div><div _ngcontent-bgi-c170 class="u-pb-1 doc-abstract-publisher"><xpl-publisher _ngcontent-bgi-c170 _nghost-bgi-c132><span _ngcontent-bgi-c132 class="text-base-md-lh publisher-info-container black-tooltip"><span _ngcontent-bgi-c132 xplhighlight><span _ngcontent-bgi-c132><span _ngcontent-bgi-c132 class=title>Publisher: </span><span _ngcontent-bgi-c132>IEEE</span></span></span></span></xpl-publisher></div><div _ngcontent-bgi-c170 class="u-pb-1 doc-abstract-conferenceLoc"><strong _ngcontent-bgi-c170>Conference Location: </strong> New Delhi, India </div></div></div></div></section></xpl-document-abstract></div><xpl-leaderboard-middle-ad _ngcontent-bgi-c212 class="hide-desktop sf-hidden" _nghost-bgi-c171><div _ngcontent-bgi-c171 class="Ads-leaderboard ad-panel sf-hidden"><div _ngcontent-bgi-c171 class="ad-leaderboard-ad-container sf-hidden"><div _ngcontent-bgi-c171 xplgoogleadmigr class="Ads-leaderBoardMiddleTablet sf-hidden"></div><div _ngcontent-bgi-c171 xplgoogleadmigr class="Ads-leaderBoardMiddleMobile sf-hidden"></div></div></div></xpl-leaderboard-middle-ad><xpl-document-full-text _ngcontent-bgi-c212 _nghost-bgi-c183><section _ngcontent-bgi-c183><div _ngcontent-bgi-c183 id=toc-wrapper class="row g-0 full-text-toc-wrapper"><div _ngcontent-bgi-c183 xplscrollsnapmigr cssclasstostick=document-toc-stick fromelementid=toc-wrapper tillelementid=full-text-footer offsetfrom=150 offsetto=-800 scrollreset=true class="col-12 u-align-center ft-toc previous-next-nav-ctrl hide-desktop sf-hidden"></div></div><hr _ngcontent-bgi-c183 class=sf-hidden><div _ngcontent-bgi-c183 class="row g-0 document-full-text-content"><div _ngcontent-bgi-c183 id=full-text-section class="position-relative col col-text stats-document-container-fullTextSection u-printing-display-inline-ie u-printing-display-inline-ff" style=font-size:15px><span _ngcontent-bgi-c183 id=full-text-header></span><div _ngcontent-bgi-c183><div _ngcontent-bgi-c183 xplmathjax xplfulltextdomhandler parentid=full-text-section xpllazyloadfigures class="document-text hide-full-text ng-non-bindable stats-document-dynamicFullTextOrSnippet-container show-full-text">
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SECTION I.</div><h2>Introduction</h2></div><p>Researchers in software engineering (SE) use eye-tracking technology to study the cognitive processes and efforts involved in different types of SE tasks. An eye tracker (hardware and software) monitors an participant's visual attention via eye-movement data <a ref-type=bibr anchor=ref1 id=context_ref_1_1 data-range=ref1>[1]</a>, <a ref-type=bibr anchor=ref2 id=context_ref_2_1 data-range=ref2>[2]</a>. Eye movements are essential to cognitive processes because they focus the participant's visual attention to the parts of a visual stimulus that are processed by the brain. Visual attention triggers cognitive processes that are required to perform tasks <a ref-type=bibr anchor=ref3 id=context_ref_3_1 data-range=ref3>[3]</a>. It is also a proxy for visual effort—a subset of cognitive effort—measured as the amount of visual attention allocated to parts of a visual stimulus. The stimulus in SE studies is shown on a computer screen.<p>A systematic literature review (SLR) showed that previous eye-tracking studies in SE proposed and used a wide variety of eye-tracking metrics to measure and interpret visual effort required to perform tasks using eye movements <a ref-type=bibr anchor=ref4 id=context_ref_4_1 data-range=ref4>[4]</a>. However, the number of <i>unique</i> metrics is smaller than it appears because there are no standard names and definitions for many metrics. Often, same metrics have been used in several studies but called by different names. Also, similar names have been used for different metrics. Finally, the lack of an exhaustive list of metrics (with unique names) prevents researchers from appreciating the complexity of eye movements and also causes confusion in choosing the most appropriate metrics for their research. The imprecise names and definitions and the conflicting uses of the metrics make it difficult to compare and/or replicate eye-tracking studies in SE.<p>For example, notwithstanding the definitions in the following sections, it is confusing that a metric calculating the ratio of the total number of fixations for an area of interest (A0I) in a stimulus (or a set of related AOls) to the total number of fixations for the whole stimulus is called “Fixation Rate” <a ref-type=bibr anchor=ref5 id=context_ref_5_1 data-range=ref5>[5]</a>, ON-target ALL-target <a ref-type=bibr anchor=ref6 id=context_ref_6_1 data-range=ref6>[6]</a>, Ratio of ON-target: All-target Fixation (ROAF) <a ref-type=bibr anchor=ref7 id=context_ref_7_1 data-range=ref7>[7]</a>, Ratio of fixation count <a ref-type=bibr anchor=ref8 id=context_ref_8_1 data-range=ref8>[8]</a>, Relevant fixation count <a ref-type=bibr anchor=ref9 id=context_ref_9_1 data-range=ref9>[9]</a>, and “Time in Region (TIR)” <a ref-type=bibr anchor=ref10 id=context_ref_10_1 data-range=ref10>[10]</a>.<p>Consequently, we study exhaustively (to the best of our knowledge) all the ways in which an participant's visual effort has been measured in SE eye-tracking studies and provide unique names and definitions for the used metrics. We also discuss the interpretations of the values of these metrics with references to the literature. We provide practical suggestions on using these metrics and, finally, introduce a list of metrics that SE researchers could borrow from usability studies. Therefore, the contributions of this paper are:
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<ol><li value=1 data-list-item-label=1)><p>Side-by-side comparisons and contrast of existing metrics for visual effort in SE eye-tracking studies.</p><li value=2 data-list-item-label=2)><p>A proposal of new metrics to borrow from other domains, with example applications.</p><li value=3 data-list-item-label=3)><p>A discussion on how to standardize metrics to help compare and replicate eye-tracking studies.</p></ol><p><p>We provide necessary background information on eye tracking in <a ref-type=sec anchor=sec2 class=fulltext-link>Section II</a>. <a ref-type=sec anchor=sec3 class=fulltext-link>Section III</a> summarizes previous eye-tracking studies in SE. <a ref-type=sec anchor=sec4 class=fulltext-link>Section IV</a> presents a list of visual-effort metrics followed by a discussion in <a ref-type=sec anchor=sec5 class=fulltext-link>Section V</a>. Threats to the validity are reported in <a ref-type=sec anchor=sec6a class=fulltext-link>Section VI-A</a> and <a ref-type=sec anchor=sec6b class=fulltext-link>VI-B</a>. <a ref-type=sec anchor=sec7 class=fulltext-link>Section VII</a> concludes and sketches future studies.</p></div>
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SECTION II.</div><h2>Background on Eye Tracking</h2></div><p>Eye trackers help assess a participant's visual attention by recording eye movements <a ref-type=bibr anchor=ref1 id=context_ref_1_2 data-range=ref1>[1]</a>, <a ref-type=bibr anchor=ref2 id=context_ref_2_2 data-range=ref2>[2]</a>, which show where a participant is looking, the duration, and the sequence in which her attention switches from one location to another. We briefly describe some eye movement terminology.<div class=section_2 id=sec2a><h3>Fixation</h3><p>The stabilization of the eye on part of a stimulus for a period of time (200–300 ms). The link between fixations and cognitive processes relies on two assumptions <a ref-type=bibr anchor=ref3 id=context_ref_3_2a data-range=ref3>[3]</a> the immediacy assumption, which states that, as soon as a participant sees the word, she tries to interpret it, and the eye-mind assumption, which states that a participant fixates her attention on the word until she comprehends it.</p></div><div class=section_2 id=sec2b><h3>Saccade</h3><p>The quick (and continuous) eye movements from one fixation to another. Saccadic eye-movements are extremely rapid (within 40–50 ms). Saccades are usually voluntary. Micro-saccades on the other hand are small jerky eye movements that are involuntary and occur during a long fixation to refresh the participant's visual memory.
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<div class="figure figure-full" id=fig1><div class=img-wrap><a href=https://ieeexplore.ieee.org/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-fig-1-source-large.gif data-fig-id=fig1><img class="document-ft-image fadeIn" 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" alt="Fig. 1. - Scanpath on a code snippet. Fixations are represented by circles, the size of a circle is proportional to the duration of the fixation. Saccades are lines between fixations. Numbers in the circles order the fixations." data-lazy=/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-fig-1-source-small.gif data-alt="Fig. 1. - Scanpath on a code snippet. Fixations are represented by circles, the size of a circle is proportional to the duration of the fixation. Saccades are lines between fixations. Numbers in the circles order the fixations."><div class=zoom title="View Larger Image"></div></a></div><div class=figcaption><b class=title>Fig. 1. </b><fig><p>Scanpath on a code snippet. Fixations are represented by circles, the size of a circle is proportional to the duration of the fixation. Saccades are lines between fixations. Numbers in the circles order the fixations.</p></fig></div><p class=links><a href=https://ieeexplore.ieee.org/document/7467288/figures class=all>Show All</a></p></div><p></p></div><div class=section_2 id=sec2c><h3>Pupil Dilation</h3><p>The widening of the pupil. which allows more light to get into the eye in low light Conditions. It also happens when a participant's mood or attitude changes or during complex cognitive tasks <a ref-type=bibr anchor=ref11 id=context_ref_11_2c data-range=ref11>[11]</a>.</p></div><div class=section_2 id=sec2d><h3>Scanpath</h3><p>A series of fixations in chronological order that represents an participant's pattern of eye movements.<p>Researchers study eye-gaze data with respect to certain areas on the stimuli (e.g., diagrams or source code) called Areas of Interest (AOIs). An AOI can be relevant to the correct answer needed from the participant performing a task or can be irrelevant. For example, if we consider a class diagram as a stimulus, an irrelevant AOI can be any class or any notation while a relevant AOI could be the specific class that is relevant to the given task. For source code, it could be any source code element such as method call or identifier. See <a ref-type=fig anchor=fig1 class=fulltext-link>Figure 1</a> for an example of a gaze plot overlaid on a code snippet.</p></div></div>
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<div class=section id=sec3><div class="header article-hdr"><div class=kicker>
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SECTION III.</div><h2>Previous Eye-Tracking Research in SE</h2></div><div class=section_2 id=sec3a><h3>A. Model Stimulus</h3><p>Several previous eye-tracking studies focused on the comprehension of UML class diagrams with respect to design patterns <a ref-type=bibr anchor=ref6 id=context_ref_6_3a data-range=ref6>[6]</a>, <a ref-type=bibr anchor=ref7 id=context_ref_7_3a data-range=ref7>[7]</a>, <a ref-type=bibr anchor=ref12 id=context_ref_12_3a data-range=ref12>[12]</a>, the impact of layout <a ref-type=bibr anchor=ref13 id=context_ref_13_3a data-range=ref13>[13]</a>, <a ref-type=bibr anchor=ref14 id=context_ref_14_3a data-range=ref14>[14]</a>, and the impact of expertise <a ref-type=bibr anchor=ref15 id=context_ref_15_3a data-range=ref15>[15]</a>. Petrusel <i>et al.</i> <a ref-type=bibr anchor=ref10 id=context_ref_10_3a data-range=ref10>[10]</a> focused on the understanding of business process models (BPMN diagrams) while Cagiltay <i>et al.</i> <a ref-type=bibr anchor=ref16 id=context_ref_16_3a data-range=ref16>[16]</a> performed non-formal inspections of entity relationship diagrams (ERD). In addition, Sharafi <i>et al.</i> <a ref-type=bibr anchor=ref17 id=context_ref_17_3a data-range=ref17>[17]</a> investigated the efficiency of graphical representations vs. textual ones in modeling and presenting software requirements presented by TROPOS modeling technique.</p></div><div class=section_2 id=sec3b><h3>B. Source Code and Text Stimulus</h3><p>The majority of previous studies focused on the impact of expertise on comprehension and viewing strategies while comparing source-code reading with natural-language text reading <a ref-type=bibr anchor=ref18 id=context_ref_18_3b data-range="ref18 ref19 ref20 ref21">[18]</a>–<a ref-type=bibr anchor=ref21 id=context_ref_21_3b data-range="ref18 ref19 ref20 ref21">[21]</a>. They reported that source-code reading is different from text reading <a ref-type=bibr anchor=ref8 id=context_ref_8_3b data-range=ref8>[8]</a> and that participants have higher fixation time and regression rate when reading source code compared to text <a ref-type=bibr anchor=ref20 id=context_ref_20_3b data-range=ref20>[20]</a>. They also reported that novices spend more visual attention on comments than experts while experts spend more time on relevant AOls <a ref-type=bibr anchor=ref18 id=context_ref_18_3b data-range=ref18>[18]</a>, <a ref-type=bibr anchor=ref19 id=context_ref_19_3b data-range=ref19>[19]</a>. Busjahn <i>et al. <a ref-type=bibr anchor=ref22 id=context_ref_22_3b data-range=ref22>[22]</a></i> also performed the first eye-tracking study that adapt several linearity metrics used to analyze natural-language reading to source-code reading. Kevic <i>et al.</i> <a ref-type=bibr anchor=ref23 id=context_ref_23_3b data-range=ref23>[23]</a> were able to conduct the first eye tracking study on large source code files in an open source system using the Eclipse plugin <i>iTrace <a ref-type=bibr anchor=ref24 id=context_ref_24_3b data-range=ref24>[24]</a>. iTrace</i> automatically maps eye movements to source code elements while maintaining context during scrolling.<p>Some previous studies analyzed the impact of software visualisation on code comprehension <a ref-type=bibr anchor=ref25 id=context_ref_25_3b data-range=ref25>[25]</a> and debugging <a ref-type=bibr anchor=ref26 id=context_ref_26_3b data-range=ref26>[26]</a>, <a ref-type=bibr anchor=ref27 id=context_ref_27_3b data-range=ref27>[27]</a>. They reported that, by helping participants to find relevant AOls and their dependencies, visualizations guided participants to follow more systematic strategies <a ref-type=bibr anchor=ref25 id=context_ref_25_3b data-range=ref25>[25]</a>. Their results also showed that participants with higher performance mainly use graphical representations although they also used text from time to time <a ref-type=bibr anchor=ref26 id=context_ref_26_3b data-range=ref26>[26]</a>. Participants with lower performance performed attention switching very frequently <a ref-type=bibr anchor=ref27 id=context_ref_27_3b data-range=ref27>[27]</a>.<p>Several previous studies focused on debugging and defect finding tasks <a ref-type=bibr anchor=ref9 id=context_ref_9_3b data-range=ref9>[9]</a>, <a ref-type=bibr anchor=ref26 id=context_ref_26_3b data-range="ref26 ref27 ref28 ref29">[26]</a>–<a ref-type=bibr anchor=ref29 id=context_ref_29_3b data-range="ref26 ref27 ref28 ref29">[29]</a>. Turner <i>et al.</i> <a ref-type=bibr anchor=ref29 id=context_ref_29_3b data-range=ref29>[29]</a> studied the impact of programming languages (C++ vs. Python) and reported that the programming language impacts the visual effort spent by novices compared to experts while working with buggy lines of code. The impact of identifier styles (camel case vs. underscore) on code comprehension has also been investigated <a ref-type=bibr anchor=ref8 id=context_ref_8_3b data-range=ref8>[8]</a>, <a ref-type=bibr anchor=ref30 id=context_ref_30_3b data-range=ref30>[30]</a>, <a ref-type=bibr anchor=ref31 id=context_ref_31_3b data-range=ref31>[31]</a>. No difference regarding accuracy, time, and effort for comprehension tasks were reported <a ref-type=bibr anchor=ref30 id=context_ref_30_3b data-range=ref30>[30]</a>, <a ref-type=bibr anchor=ref31 id=context_ref_31_3b data-range=ref31>[31]</a> but expertise lessens the impact of identifier styles <a ref-type=bibr anchor=ref30 id=context_ref_30_3b data-range=ref30>[30]</a>, <a ref-type=bibr anchor=ref31 id=context_ref_31_3b data-range=ref31>[31]</a>. Fritz <i>et al.</i> <a ref-type=bibr anchor=ref32 id=context_ref_32_3b data-range=ref32>[32]</a> combined pupil dilation, blink rates, electrodermal activity, and EEG (electroencephalogram) to characterise and predict task difficulty.<p>All these previous eye-tracking studies used different types of metrics to compute visual effort for specific tasks. No study summarizes and provides a list of all available metrics along with detailed definitions and suggestions on how to measure visual effort and use the metrics, the main contribution of this paper. In addition, some researchers use the same metric but name it differently. For example, while analyzing the distribution of visual attention on different code elements, all of the previous studies <a ref-type=bibr anchor=ref18 id=context_ref_18_3b data-range="ref18 ref19 ref20 ref21">[18]</a>–<a ref-type=bibr anchor=ref21 id=context_ref_21_3b data-range="ref18 ref19 ref20 ref21">[21]</a> considered each code element as an AOI and calculated the sums of all fixation durations for each AOI but called this metric differently: fixation time <a ref-type=bibr anchor=ref18 id=context_ref_18_3b data-range="ref18 ref19 ref20">[18]</a>–<a ref-type=bibr anchor=ref20 id=context_ref_20_3b data-range="ref18 ref19 ref20">[20]</a>, <a ref-type=bibr anchor=ref26 id=context_ref_26_3b data-range=ref26>[26]</a>, aggregated fixation time <a ref-type=bibr anchor=ref20 id=context_ref_20_3b data-range=ref20>[20]</a>, total time of fixations <a ref-type=bibr anchor=ref33 id=context_ref_33_3b data-range=ref33>[33]</a>, or total dwell time <a ref-type=bibr anchor=ref21 id=context_ref_21_3b data-range=ref21>[21]</a>. Conversely, the same name may refer to different metrics. Gaze time either refers to the sum of all fixation durations for an AOI for the whole study <a ref-type=bibr anchor=ref34 id=context_ref_34_3b data-range=ref34>[34]</a> or is defined as the sum of all fixation durations <a ref-type=bibr anchor=ref21 id=context_ref_21_3b data-range=ref21>[21]</a>.<p>Such ambiguities make comparison and replication of previous studies difficult. This makes it even more important to clarify and standardize the names and definitions of eye-tracking metrics. This paper seeks to bring awareness to these ambiguities and pave the way towards future standardization.</p></div></div>
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<div class=section id=sec4><div class="header article-hdr"><div class=kicker>
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SECTION IV.</div><h2>Visual Effort Metrics</h2></div><p>When designing an eye-tracking study, researchers in SE must choose adequate metrics to measure the visual effort that is representative of the tasks and stimuli being assessed. We provide a list of visual-effort metrics, their names, and definitions and discuss how previous studies used and interpreted them. We divide metrics into: <a ref-type=disp-formula anchor=deqn1 href=https://ieeexplore.ieee.org/document/#deqn1 class=fulltext-link>(1)</a> metrics based on fixations, <a ref-type=disp-formula anchor=deqn2 href=https://ieeexplore.ieee.org/document/#deqn2 class=fulltext-link>(2)</a> metrics based on saccades, <a ref-type=disp-formula anchor=deqn3 href=https://ieeexplore.ieee.org/document/#deqn3 class=fulltext-link>(3)</a> metrics based on scanpaths, and <a ref-type=disp-formula anchor=deqn4 href=https://ieeexplore.ieee.org/document/#deqn4 class=fulltext-link>(4)</a> metrics of pupil size and blink rate.<div class=section_2 id=sec4a><h3>A. Metrics Based on Fixations</h3><p>Visual-effort metrics using fixations divide into two groups.<div class=section_2 id=sec4a1><h4>1) Metrics Based on the Number of Fixations</h4><p><a ref-type=table anchor=table1 class=fulltext-link>Table I</a> presents a list of metrics used in previous studies measuring visual effort based on the number of fixations.<p><i>Fixation Count (FC</i>) is the total number of fixations in each AOI. Several studies refer to this metric as the total number of fixations. Goldberg <i>et al.</i> <a ref-type=bibr anchor=ref5 id=context_ref_5_4a1 data-range=ref5>[5]</a> reports that a higher number of fixations devoted to a stimulus shows that the search for finding relevant information is not efficient. Previous eye-tracking studies in SE mainly use this metric to find AOIs that attract more visual attention or to report that more visual effort is required to perform a task. When working with text, the fixation count can be adjusted to the text length by dividing the number of fixations by the number of words in the text.<p><i>Fixation Rate (FR) <a ref-type=bibr anchor=ref5 id=context_ref_5_4a1 data-range=ref5>[5]</a></i> is calculated using Equation 1. The Area of Glance (AOG) can be either the whole stimulus, to calculate the ratio of the total number of fixations in one AOI to all fixations, or it can be another AOI, to show the ratio of fixations between two different AOIs. A smaller ratio shows lower efficiency in search tasks: participants spend more effort to find relevant areas <a ref-type=bibr anchor=ref36 id=context_ref_36_4a1 data-range=ref36>[36]</a>. For comprehension tasks, a higher ratio indicates that either the participant shows a great interest in an AOI or that this AOI is difficult to understand <a ref-type=bibr anchor=ref37 id=context_ref_37_4a1 data-range=ref37>[37]</a>. Other names for this metric are “ON-target ALL-target” <a ref-type=bibr anchor=ref6 id=context_ref_6_4a1 data-range=ref6>[6]</a>, “Ratio of ON-target: All-target Fixation (ROAF)” <a ref-type=bibr anchor=ref7 id=context_ref_7_4a1 data-range=ref7>[7]</a>, “Ratio of Fixation Count” <a ref-type=bibr anchor=ref8 id=context_ref_8_4a1 data-range=ref8>[8]</a>, and “Relevant Fixation Count” <a ref-type=bibr anchor=ref9 id=context_ref_9_4a1 data-range=ref9>[9]</a>.<disp-formula id=deqn1 class=display-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span></tex-math></disp-formula><div class=MathJax_Display><span class="MathJax MathJax_FullWidth" id=MathJax-Element-1-Frame tabindex=0><nobr><span class=math id=MathJax-Span-1 style=width:100%;display:inline-block;min-width:22.557em><span style=display:inline-block;position:relative;width:100%;height:0px;font-size:111%;min-width:22.557em><span style=position:absolute;clip:rect(2.554em,1018.4em,4.954em,-1000em);top:-4.004em;left:0em;width:100%><span class=mrow id=MathJax-Span-2><span class=mtable id=MathJax-Span-3 style=min-width:22.557em><span style=display:inline-block;position:relative;width:100%;height:0px;min-width:22.557em><span style=display:inline-block;position:absolute;width:18.401em;height:0px;clip:rect(-1.45em,1018.4em,0.95em,-1000em);top:0em;left:50%;margin-left:-9.201em><span style=position:absolute;clip:rect(2.554em,1018.4em,4.954em,-1000em);top:-4.004em;left:0em><span style=display:inline-block;position:relative;width:18.401em;height:0px><span style=position:absolute;clip:rect(2.461em,1018.4em,4.862em,-1000em);top:-3.912em;left:50%;margin-left:-9.201em><span class=mtd id=MathJax-Span-7><span class=mrow id=MathJax-Span-8><span class=mi id=MathJax-Span-9 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span class=mi id=MathJax-Span-10 style=font-family:MathJax_Math;font-style:italic>R</span><span class=mo id=MathJax-Span-11 style=font-family:MathJax_Main;padding-left:0.278em>=</span><span class=mfrac id=MathJax-Span-12 style=padding-left:0.278em><span style=display:inline-block;position:relative;width:15.319em;height:0px;margin-right:0.12em;margin-left:0.12em><span style=position:absolute;clip:rect(3.138em,1014.75em,4.176em,-1000em);top:-4.681em;left:50%;margin-left:-7.388em><span class=mtext id=MathJax-Span-13 style=font-family:MathJax_Main>Total Number of Fixations in AOI</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.138em,1015.15em,4.176em,-1000em);top:-3.318em;left:50%;margin-left:-7.6em><span class=mtext id=MathJax-Span-14 style=font-family:MathJax_Main>Total Number of Fixations in AOG</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(0.838em,1015.32em,1.201em,-1000em);top:-1.271em;left:0em><span style="display:inline-block;overflow:hidden;vertical-align:0em;border-top:1.3px solid;width:15.319em;height:0px"></span><span style=display:inline-block;width:0px;height:1.051em></span></span></span></span><span class=texatom id=MathJax-Span-15><span class=mrow id=MathJax-Span-16></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;position:absolute;width:1.278em;height:0px;clip:rect(-0.808em,1001.18em,0.492em,-1000em);top:0em;right:0em;margin-right:0em><span style=position:absolute;clip:rect(3.104em,1001.18em,4.404em,-1000em);top:-3.912em;right:0em><span class=mtd id=mjx-eqn-1><span class=mrow id=MathJax-Span-5><span class=mtext id=MathJax-Span-6 style=font-family:MathJax_Main>(1)</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.944em;border-left:0px solid;width:0px;height:2.443em"></span></span></nobr></span></div><span class=formula><span class=link>View Source</span><img class=document-ft-image aria-describedby=qtip-0 style="display:inline;background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-48)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important" title="Right-click on figure or equation for MathML and additional features." data-hasqtip=0 alt="Right-click on figure for MathML and additional features." src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="20"><rect fill-opacity="0"/></svg>' border=0 height=20 width=24><span class="tex tex2jax_ignore" style=display:none>\begin{equation*}
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FR= \frac{\text{Total Number of Fixations in AOI}}{\text{Total Number of Fixations in AOG}}
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{\tag{1}}
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\end{equation*}</span></span><p><p class=has-inline-formula><i>Fixation Spatial Density (SD) <a ref-type=bibr anchor=ref5 id=context_ref_5_4a1 data-range=ref5>[5]</a></i> is equal to the number of cells containing at least one fixation, divided by the total number of cells, if we consider the stimulus as a grid. It is calculated using Equation 2 where <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-2-Frame tabindex=0><nobr><span class=math id=MathJax-Span-17 style=width:0.703em;display:inline-block><span style=display:inline-block;position:relative;width:0.601em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.66em,1000.58em,2.413em,-1000em);top:-2.252em;left:0em><span class=mrow id=MathJax-Span-18><span class=mi id=MathJax-Span-19 style=font-family:MathJax_Math;font-style:italic>n</span></span><span style=display:inline-block;width:0px;height:2.252em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.068em;border-left:0px solid;width:0px;height:0.614em"></span></span></nobr></span></tex-math></inline-formula> is the number of cells in the grid and <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-3-Frame tabindex=0><nobr><span class=math id=MathJax-Span-20 style=width:0.853em;display:inline-block><span style=display:inline-block;position:relative;width:0.751em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.51em,1000.75em,2.41em,-1000em);top:-2.102em;left:0em><span class=mrow id=MathJax-Span-21><span class=msubsup id=MathJax-Span-22><span style=display:inline-block;position:relative;width:0.752em;height:0px><span style=position:absolute;clip:rect(3.412em,1000.43em,4.165em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-23 style=font-family:MathJax_Math;font-style:italic>c</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.433em><span class=texatom id=MathJax-Span-24><span class=mrow id=MathJax-Span-25><span class=mi id=MathJax-Span-26 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span><span style=display:inline-block;width:0px;height:2.102em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.231em;border-left:0px solid;width:0px;height:0.777em"></span></span></nobr></span></tex-math></inline-formula> is equal to 1 if the cell number <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-4-Frame tabindex=0><nobr><span class=math id=MathJax-Span-27 style=width:0.403em;display:inline-block><span style=display:inline-block;position:relative;width:0.35em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.441em,1000.31em,2.413em,-1000em);top:-2.252em;left:0em><span class=mrow id=MathJax-Span-28><span class=mi id=MathJax-Span-29 style=font-family:MathJax_Math;font-style:italic>i</span></span><span style=display:inline-block;width:0px;height:2.252em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.068em;border-left:0px solid;width:0px;height:0.857em"></span></span></nobr></span></tex-math></inline-formula> is visited, otherwise it is O. It represents the “coverage of an area” and measures the dispersion of the participant's fixations. Smaller spatial density shows less coverage.<disp-formula id=deqn2 class=display-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span></tex-math></disp-formula><div class=MathJax_Display><span class="MathJax MathJax_FullWidth" id=MathJax-Element-5-Frame tabindex=0><nobr><span class=math id=MathJax-Span-30 style=width:100%;display:inline-block;min-width:10.521em><span style=display:inline-block;position:relative;width:100%;height:0px;font-size:111%;min-width:10.521em><span style=position:absolute;clip:rect(2.481em,1006.37em,5.027em,-1000em);top:-4.004em;left:0em;width:100%><span class=mrow id=MathJax-Span-31><span class=mtable id=MathJax-Span-32 style=min-width:10.521em><span style=display:inline-block;position:relative;width:100%;height:0px;min-width:10.521em><span style=display:inline-block;position:absolute;width:6.365em;height:0px;clip:rect(-1.523em,1006.37em,1.023em,-1000em);top:0em;left:50%;margin-left:-3.182em><span style=position:absolute;clip:rect(2.481em,1006.37em,5.027em,-1000em);top:-4.004em;left:0em><span style=display:inline-block;position:relative;width:6.365em;height:0px><span style=position:absolute;clip:rect(2.306em,1006.37em,4.851em,-1000em);top:-3.829em;left:50%;margin-left:-3.182em><span class=mtd id=MathJax-Span-36><span class=mrow id=MathJax-Span-37><span class=mi id=MathJax-Span-38 style=font-family:MathJax_Math;font-style:italic>S<span style=display:inline-block;overflow:hidden;height:1px;width:0.032em></span></span><span class=mi id=MathJax-Span-39 style=font-family:MathJax_Math;font-style:italic>D</span><span class=mo id=MathJax-Span-40 style=font-family:MathJax_Main;padding-left:0.278em>=</span><span class=mfrac id=MathJax-Span-41 style=padding-left:0.278em><span style=display:inline-block;position:relative;width:3.318em;height:0px;margin-right:0.12em;margin-left:0.12em><span style=position:absolute;clip:rect(3.064em,1003.2em,4.447em,-1000em);top:-4.762em;left:50%;margin-left:-1.599em><span class=mrow id=MathJax-Span-42><span class=msubsup id=MathJax-Span-43><span style=display:inline-block;position:relative;width:2.279em;height:0px><span style=position:absolute;clip:rect(3.104em,1001em,4.404em,-1000em);top:-4.004em;left:0em><span class=mo id=MathJax-Span-44 style=font-family:MathJax_Size1;vertical-align:0em>∑</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.541em,1000.5em,4.162em,-1000em);top:-4.481em;left:1.056em><span class=texatom id=MathJax-Span-45><span class=mrow id=MathJax-Span-46><span class=mi id=MathJax-Span-47 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>n</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.383em,1001.22em,4.162em,-1000em);top:-3.719em;left:1.056em><span class=texatom id=MathJax-Span-48><span class=mrow id=MathJax-Span-49><span class=mi id=MathJax-Span-50 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span><span class=mo id=MathJax-Span-51 style=font-size:70.7%;font-family:MathJax_Main>=</span><span class=mn id=MathJax-Span-52 style=font-size:70.7%;font-family:MathJax_Main>1</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=msubsup id=MathJax-Span-53 style=padding-left:0.167em><span style=display:inline-block;position:relative;width:0.752em;height:0px><span style=position:absolute;clip:rect(3.412em,1000.43em,4.165em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-54 style=font-family:MathJax_Math;font-style:italic>c</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.433em><span class=texatom id=MathJax-Span-55><span class=mrow id=MathJax-Span-56><span class=mi id=MathJax-Span-57 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.412em,1000.58em,4.165em,-1000em);top:-3.318em;left:50%;margin-left:-0.3em><span class=mi id=MathJax-Span-58 style=font-family:MathJax_Math;font-style:italic>n</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(0.838em,1003.32em,1.201em,-1000em);top:-1.271em;left:0em><span style="display:inline-block;overflow:hidden;vertical-align:0em;border-top:1.3px solid;width:3.318em;height:0px"></span><span style=display:inline-block;width:0px;height:1.051em></span></span></span></span><span class=texatom id=MathJax-Span-59><span class=mrow id=MathJax-Span-60></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;position:absolute;width:1.278em;height:0px;clip:rect(-0.725em,1001.18em,0.576em,-1000em);top:0em;right:0em;margin-right:0em><span style=position:absolute;clip:rect(3.104em,1001.18em,4.404em,-1000em);top:-3.829em;right:0em><span class=mtd id=mjx-eqn-2><span class=mrow id=MathJax-Span-34><span class=mtext id=MathJax-Span-35 style=font-family:MathJax_Main>(2)</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-1.024em;border-left:0px solid;width:0px;height:2.603em"></span></span></nobr></span></div><span class=formula><span class=link>View Source</span><img class=document-ft-image aria-describedby=qtip-0 style="display:inline;background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-48)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important" title="Right-click on figure or equation for MathML and additional features." data-hasqtip=0 alt="Right-click on figure for MathML and additional features." src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="20"><rect fill-opacity="0"/></svg>' border=0 height=20 width=24><span class="tex tex2jax_ignore" style=display:none>\begin{equation*}
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SD= \frac{\sum\nolimits_{i=1}^{n}c_{i}}{n}
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{\tag{2}}
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\end{equation*}</span></span><p><p><i>Convex Hull Area</i> <a ref-type=bibr anchor=ref5 id=context_ref_5_4a1 data-range=ref5>[5]</a> represents the area of the smallest convex set of fixations that contains all a participant's fixations to visualize the spatial distribution of fixations and show the preferred parts of a visual stimulus. It is very sensitive to outliers <a ref-type=bibr anchor=ref4 id=context_ref_4_4a1 data-range=ref4>[4]</a> and even one fixation that deviates from its true location can change the convex hull significantly. Thus, rigourous noise removal is necessary.</p></div><div class=section_2 id=sec4a2><h4>2) Metrics Based on the Duration of Fixations</h4><p>The duration of fixations represents the required time to analyze a stimulus <a ref-type=bibr anchor=ref5 id=context_ref_5_4a2 data-range=ref5>[5]</a> and, thus, the depth of processing. <a ref-type=table anchor=table2 class=fulltext-link>Table II</a> presents a list of metrics used by previous studies based on the duration of fixations. It is important to measure both fixation counts and their durations because it is possible to have a low fixation count but a high duration and vice versa.<p class=has-inline-formula><i>Average Fixation Duration (AFD</i>) <a ref-type=bibr anchor=ref5 id=context_ref_5_4a2 data-range=ref5>[5]</a> is the sum of the durations of all the fixations divided by the number of fixations, as in Equation 3, where <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-6-Frame tabindex=0><nobr><span class=math id=MathJax-Span-61 style=width:3.556em;display:inline-block><span style=display:inline-block;position:relative;width:3.203em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.352em,1003.11em,2.652em,-1000em);top:-2.252em;left:0em><span class=mrow id=MathJax-Span-62><span class=mi id=MathJax-Span-63 style=font-family:MathJax_Math;font-style:italic>E<span style=display:inline-block;overflow:hidden;height:1px;width:0.026em></span></span><span class=mi id=MathJax-Span-64 style=font-family:MathJax_Math;font-style:italic>T<span style=display:inline-block;overflow:hidden;height:1px;width:0.12em></span></span><span class=mo id=MathJax-Span-65 style=font-family:MathJax_Main>(</span><span class=msubsup id=MathJax-Span-66><span style=display:inline-block;position:relative;width:0.962em;height:0px><span style=position:absolute;clip:rect(3.174em,1000.75em,4.154em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-67 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.643em><span class=texatom id=MathJax-Span-68><span class=mrow id=MathJax-Span-69><span class=mi id=MathJax-Span-70 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-71 style=font-family:MathJax_Main>)</span></span><span style=display:inline-block;width:0px;height:2.252em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.333em;border-left:0px solid;width:0px;height:1.221em"></span></span></nobr></span></tex-math></inline-formula> and <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-7-Frame tabindex=0><nobr><span class=math id=MathJax-Span-72 style=width:3.456em;display:inline-block><span style=display:inline-block;position:relative;width:3.103em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.352em,1003.01em,2.652em,-1000em);top:-2.252em;left:0em><span class=mrow id=MathJax-Span-73><span class=mi id=MathJax-Span-74 style=font-family:MathJax_Math;font-style:italic>S<span style=display:inline-block;overflow:hidden;height:1px;width:0.032em></span></span><span class=mi id=MathJax-Span-75 style=font-family:MathJax_Math;font-style:italic>T<span style=display:inline-block;overflow:hidden;height:1px;width:0.12em></span></span><span class=mo id=MathJax-Span-76 style=font-family:MathJax_Main>(</span><span class=msubsup id=MathJax-Span-77><span style=display:inline-block;position:relative;width:0.962em;height:0px><span style=position:absolute;clip:rect(3.174em,1000.75em,4.154em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-78 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.643em><span class=texatom id=MathJax-Span-79><span class=mrow id=MathJax-Span-80><span class=mi id=MathJax-Span-81 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-82 style=font-family:MathJax_Main>)</span></span><span style=display:inline-block;width:0px;height:2.252em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.333em;border-left:0px solid;width:0px;height:1.221em"></span></span></nobr></span></tex-math></inline-formula> are the end time and start time for a fixation <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-8-Frame tabindex=0><nobr><span class=math id=MathJax-Span-83 style=width:1.054em;display:inline-block><span style=display:inline-block;position:relative;width:0.951em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.272em,1000.95em,2.41em,-1000em);top:-2.102em;left:0em><span class=mrow id=MathJax-Span-84><span class=msubsup id=MathJax-Span-85><span style=display:inline-block;position:relative;width:0.962em;height:0px><span style=position:absolute;clip:rect(3.174em,1000.75em,4.154em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-86 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.643em><span class=texatom id=MathJax-Span-87><span class=mrow id=MathJax-Span-88><span class=mi id=MathJax-Span-89 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span><span style=display:inline-block;width:0px;height:2.102em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.231em;border-left:0px solid;width:0px;height:1.041em"></span></span></nobr></span></tex-math></inline-formula> and <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-9-Frame tabindex=0><nobr><span class=math id=MathJax-Span-90 style=width:0.703em;display:inline-block><span style=display:inline-block;position:relative;width:0.601em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.66em,1000.58em,2.413em,-1000em);top:-2.252em;left:0em><span class=mrow id=MathJax-Span-91><span class=mi id=MathJax-Span-92 style=font-family:MathJax_Math;font-style:italic>n</span></span><span style=display:inline-block;width:0px;height:2.252em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.068em;border-left:0px solid;width:0px;height:0.614em"></span></span></nobr></span></tex-math></inline-formula> is the total number of fixations in a given AOI. Another name for this metric is “Mean Fixation Duration” <a ref-type=bibr anchor=ref20 id=context_ref_20_4a2 data-range=ref20>[20]</a>, <a ref-type=bibr anchor=ref38 id=context_ref_38_4a2 data-range=ref38>[38]</a>.<disp-formula id=deqn3 class=display-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span></tex-math></disp-formula><div class=MathJax_Display><span class="MathJax MathJax_FullWidth" id=MathJax-Element-10-Frame tabindex=0><nobr><span class=math id=MathJax-Span-93 style=width:100%;display:inline-block;min-width:24.438em><span style=display:inline-block;position:relative;width:100%;height:0px;font-size:111%;min-width:24.438em><span style=position:absolute;clip:rect(2.481em,1020.28em,5.027em,-1000em);top:-4.004em;left:0em;width:100%><span class=mrow id=MathJax-Span-94><span class=mtable id=MathJax-Span-95 style=min-width:24.438em><span style=display:inline-block;position:relative;width:100%;height:0px;min-width:24.438em><span style=display:inline-block;position:absolute;width:20.282em;height:0px;clip:rect(-1.523em,1020.28em,1.023em,-1000em);top:0em;left:50%;margin-left:-10.141em><span style=position:absolute;clip:rect(2.481em,1020.28em,5.027em,-1000em);top:-4.004em;left:0em><span style=display:inline-block;position:relative;width:20.282em;height:0px><span style=position:absolute;clip:rect(2.306em,1020.28em,4.851em,-1000em);top:-3.829em;left:50%;margin-left:-10.141em><span class=mtd id=MathJax-Span-99><span class=mrow id=MathJax-Span-100><span class=mi id=MathJax-Span-101 style=font-family:MathJax_Math;font-style:italic>A</span><span class=mi id=MathJax-Span-102 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span class=mi id=MathJax-Span-103 style=font-family:MathJax_Math;font-style:italic>D</span><span class=mo id=MathJax-Span-104 style=font-family:MathJax_Main>(</span><span class=mi id=MathJax-Span-105 style=font-family:MathJax_Math;font-style:italic>A</span><span class=mi id=MathJax-Span-106 style=font-family:MathJax_Math;font-style:italic>O</span><span class=mi id=MathJax-Span-107 style=font-family:MathJax_Math;font-style:italic>I<span style=display:inline-block;overflow:hidden;height:1px;width:0.064em></span></span><span class=mo id=MathJax-Span-108 style=font-family:MathJax_Main>)</span><span class=mo id=MathJax-Span-109 style=font-family:MathJax_Main;padding-left:0.278em>=</span><span class=mfrac id=MathJax-Span-110 style=padding-left:0.278em><span style=display:inline-block;position:relative;width:13.586em;height:0px;margin-right:0.12em;margin-left:0.12em><span style=position:absolute;clip:rect(3.064em,1013.44em,4.447em,-1000em);top:-4.762em;left:50%;margin-left:-6.733em><span class=mrow id=MathJax-Span-111><span class=msubsup id=MathJax-Span-112><span style=display:inline-block;position:relative;width:2.279em;height:0px><span style=position:absolute;clip:rect(3.104em,1001em,4.404em,-1000em);top:-4.004em;left:0em><span class=mo id=MathJax-Span-113 style=font-family:MathJax_Size1;vertical-align:0em>∑</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.541em,1000.5em,4.162em,-1000em);top:-4.481em;left:1.056em><span class=texatom id=MathJax-Span-114><span class=mrow id=MathJax-Span-115><span class=mi id=MathJax-Span-116 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>n</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.383em,1001.22em,4.162em,-1000em);top:-3.719em;left:1.056em><span class=texatom id=MathJax-Span-117><span class=mrow id=MathJax-Span-118><span class=mi id=MathJax-Span-119 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span><span class=mo id=MathJax-Span-120 style=font-size:70.7%;font-family:MathJax_Main>=</span><span class=mn id=MathJax-Span-121 style=font-size:70.7%;font-family:MathJax_Main>1</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-122 style=font-family:MathJax_Main>(</span><span class=mi id=MathJax-Span-123 style=font-family:MathJax_Math;font-style:italic>E<span style=display:inline-block;overflow:hidden;height:1px;width:0.026em></span></span><span class=mi id=MathJax-Span-124 style=font-family:MathJax_Math;font-style:italic>T<span style=display:inline-block;overflow:hidden;height:1px;width:0.12em></span></span><span class=mo id=MathJax-Span-125 style=font-family:MathJax_Main>(</span><span class=msubsup id=MathJax-Span-126><span style=display:inline-block;position:relative;width:0.962em;height:0px><span style=position:absolute;clip:rect(3.174em,1000.75em,4.154em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-127 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.643em><span class=texatom id=MathJax-Span-128><span class=mrow id=MathJax-Span-129><span class=mi id=MathJax-Span-130 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-131 style=font-family:MathJax_Main>)</span><span class=mo id=MathJax-Span-132 style=font-family:MathJax_Main;padding-left:0.222em>−</span><span class=mi id=MathJax-Span-133 style=font-family:MathJax_Math;font-style:italic;padding-left:0.222em>S<span style=display:inline-block;overflow:hidden;height:1px;width:0.032em></span></span><span class=mi id=MathJax-Span-134 style=font-family:MathJax_Math;font-style:italic>T<span style=display:inline-block;overflow:hidden;height:1px;width:0.12em></span></span><span class=mo id=MathJax-Span-135 style=font-family:MathJax_Main>(</span><span class=msubsup id=MathJax-Span-136><span style=display:inline-block;position:relative;width:0.962em;height:0px><span style=position:absolute;clip:rect(3.174em,1000.75em,4.154em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-137 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.643em><span class=texatom id=MathJax-Span-138><span class=mrow id=MathJax-Span-139><span class=mi id=MathJax-Span-140 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-141 style=font-family:MathJax_Main>)</span><span class=mo id=MathJax-Span-142 style=font-family:MathJax_Main>)</span><span class=mtext id=MathJax-Span-143 style=font-family:MathJax_Main>in AOi</span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.412em,1000.58em,4.165em,-1000em);top:-3.318em;left:50%;margin-left:-0.3em><span class=mi id=MathJax-Span-144 style=font-family:MathJax_Math;font-style:italic>n</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(0.838em,1013.59em,1.201em,-1000em);top:-1.271em;left:0em><span style="display:inline-block;overflow:hidden;vertical-align:0em;border-top:1.3px solid;width:13.586em;height:0px"></span><span style=display:inline-block;width:0px;height:1.051em></span></span></span></span><span class=texatom id=MathJax-Span-145><span class=mrow id=MathJax-Span-146></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;position:absolute;width:1.278em;height:0px;clip:rect(-0.725em,1001.18em,0.576em,-1000em);top:0em;right:0em;margin-right:0em><span style=position:absolute;clip:rect(3.104em,1001.18em,4.404em,-1000em);top:-3.829em;right:0em><span class=mtd id=mjx-eqn-3><span class=mrow id=MathJax-Span-97><span class=mtext id=MathJax-Span-98 style=font-family:MathJax_Main>(3)</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-1.024em;border-left:0px solid;width:0px;height:2.603em"></span></span></nobr></span></div><span class=formula><span class=link>View Source</span><img class=document-ft-image aria-describedby=qtip-0 style="display:inline;background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-48)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important" title="Right-click on figure or equation for MathML and additional features." data-hasqtip=0 alt="Right-click on figure for MathML and additional features." src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="20"><rect fill-opacity="0"/></svg>' border=0 height=20 width=24><span class="tex tex2jax_ignore" style=display:none>\begin{equation*}
|
||
AFD(AOI)= \frac{\sum\nolimits_{i=1}^{n}(ET(F_{i})-ST(F_{i}))\text{in
|
||
AOi}}{n}
|
||
{\tag{3}}
|
||
\end{equation*}</span></span><p><p><i>Ratio of ON-target.·All-target Fixation Time (ROAFT</i>) <a ref-type=bibr anchor=ref5 id=context_ref_5_4a2 data-range=ref5>[5]</a> is the sum of the durations of all fixations in an AOI, divided by the total duration of all fixations for the area of glance (AOG), as in Equation 4. An AOG can be the entire stimulus or a set of AOIs. A smaller ratio indicates lower efficiency while searching the stimulus <a ref-type=bibr anchor=ref5 id=context_ref_5_4a2 data-range=ref5>[5]</a>. Other names for this metric are “Proportional Fixation Time (PFT)” <a ref-type=bibr anchor=ref26 id=context_ref_26_4a2 data-range=ref26>[26]</a>, “Ratio of Fixation Time” <a ref-type=bibr anchor=ref8 id=context_ref_8_4a2 data-range=ref8>[8]</a>, “Relevant Fixation Duration” <a ref-type=bibr anchor=ref9 id=context_ref_9_4a2 data-range=ref9>[9]</a>, and “Time in Region (TIR)” <a ref-type=bibr anchor=ref10 id=context_ref_10_4a2 data-range=ref10>[10]</a>.<disp-formula id=deqn4 class=display-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span></tex-math></disp-formula><div class=MathJax_Display><span class="MathJax MathJax_FullWidth" id=MathJax-Element-11-Frame tabindex=0><nobr><span class=math id=MathJax-Span-147 style=width:100%;display:inline-block;min-width:23.69em><span style=display:inline-block;position:relative;width:100%;height:0px;font-size:111%;min-width:23.69em><span style=position:absolute;clip:rect(2.238em,1019.53em,5.27em,-1000em);top:-4.004em;left:0em;width:100%><span class=mrow id=MathJax-Span-148><span class=mtable id=MathJax-Span-149 style=min-width:23.69em><span style=display:inline-block;position:relative;width:100%;height:0px;min-width:23.69em><span style=display:inline-block;position:absolute;width:19.534em;height:0px;clip:rect(-1.766em,1019.53em,1.266em,-1000em);top:0em;left:50%;margin-left:-9.767em><span style=position:absolute;clip:rect(2.238em,1019.53em,5.27em,-1000em);top:-4.004em;left:0em><span style=display:inline-block;position:relative;width:19.534em;height:0px><span style=position:absolute;clip:rect(2.306em,1019.53em,5.338em,-1000em);top:-4.072em;left:50%;margin-left:-9.767em><span class=mtd id=MathJax-Span-153><span class=mrow id=MathJax-Span-154><span class=mi id=MathJax-Span-155 style=font-family:MathJax_Math;font-style:italic>R</span><span class=mi id=MathJax-Span-156 style=font-family:MathJax_Math;font-style:italic>O</span><span class=mi id=MathJax-Span-157 style=font-family:MathJax_Math;font-style:italic>A</span><span class=mi id=MathJax-Span-158 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span class=mi id=MathJax-Span-159 style=font-family:MathJax_Math;font-style:italic>T<span style=display:inline-block;overflow:hidden;height:1px;width:0.12em></span></span><span class=mo id=MathJax-Span-160 style=font-family:MathJax_Main;padding-left:0.278em>=</span><span class=mfrac id=MathJax-Span-161 style=padding-left:0.278em><span style=display:inline-block;position:relative;width:14.235em;height:0px;margin-right:0.12em;margin-left:0.12em><span style=position:absolute;clip:rect(3.064em,1013.53em,4.447em,-1000em);top:-4.762em;left:50%;margin-left:-6.774em><span class=mrow id=MathJax-Span-162><span class=msubsup id=MathJax-Span-163><span style=display:inline-block;position:relative;width:2.279em;height:0px><span style=position:absolute;clip:rect(3.104em,1001em,4.404em,-1000em);top:-4.004em;left:0em><span class=mo id=MathJax-Span-164 style=font-family:MathJax_Size1;vertical-align:0em>∑</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.541em,1000.5em,4.162em,-1000em);top:-4.481em;left:1.056em><span class=texatom id=MathJax-Span-165><span class=mrow id=MathJax-Span-166><span class=mi id=MathJax-Span-167 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>n</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.383em,1001.22em,4.162em,-1000em);top:-3.719em;left:1.056em><span class=texatom id=MathJax-Span-168><span class=mrow id=MathJax-Span-169><span class=mi id=MathJax-Span-170 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span><span class=mo id=MathJax-Span-171 style=font-size:70.7%;font-family:MathJax_Main>=</span><span class=mn id=MathJax-Span-172 style=font-size:70.7%;font-family:MathJax_Main>1</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-173 style=font-family:MathJax_Main>(</span><span class=mi id=MathJax-Span-174 style=font-family:MathJax_Math;font-style:italic>E<span style=display:inline-block;overflow:hidden;height:1px;width:0.026em></span></span><span class=mi id=MathJax-Span-175 style=font-family:MathJax_Math;font-style:italic>T<span style=display:inline-block;overflow:hidden;height:1px;width:0.12em></span></span><span class=mo id=MathJax-Span-176 style=font-family:MathJax_Main>(</span><span class=msubsup id=MathJax-Span-177><span style=display:inline-block;position:relative;width:0.962em;height:0px><span style=position:absolute;clip:rect(3.174em,1000.75em,4.154em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-178 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.643em><span class=texatom id=MathJax-Span-179><span class=mrow id=MathJax-Span-180><span class=mi id=MathJax-Span-181 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-182 style=font-family:MathJax_Main>)</span><span class=mo id=MathJax-Span-183 style=font-family:MathJax_Main;padding-left:0.222em>−</span><span class=mi id=MathJax-Span-184 style=font-family:MathJax_Math;font-style:italic;padding-left:0.222em>S<span style=display:inline-block;overflow:hidden;height:1px;width:0.032em></span></span><span class=mi id=MathJax-Span-185 style=font-family:MathJax_Math;font-style:italic>T<span style=display:inline-block;overflow:hidden;height:1px;width:0.12em></span></span><span class=mo id=MathJax-Span-186 style=font-family:MathJax_Main>(</span><span class=msubsup id=MathJax-Span-187><span style=display:inline-block;position:relative;width:0.962em;height:0px><span style=position:absolute;clip:rect(3.174em,1000.75em,4.154em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-188 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.643em><span class=texatom id=MathJax-Span-189><span class=mrow id=MathJax-Span-190><span class=mi id=MathJax-Span-191 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-192 style=font-family:MathJax_Main>)</span><span class=mo id=MathJax-Span-193 style=font-family:MathJax_Main>)</span><span class=mtext id=MathJax-Span-194 style=font-family:MathJax_Main>in AOI</span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.064em,1014.07em,4.584em,-1000em);top:-3.249em;left:50%;margin-left:-7.057em><span class=mrow id=MathJax-Span-195><span class=msubsup id=MathJax-Span-196><span style=display:inline-block;position:relative;width:2.326em;height:0px><span style=position:absolute;clip:rect(3.104em,1001em,4.404em,-1000em);top:-4.004em;left:0em><span class=mo id=MathJax-Span-197 style=font-family:MathJax_Size1;vertical-align:0em>∑</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.541em,1000.5em,4.162em,-1000em);top:-4.481em;left:1.056em><span class=texatom id=MathJax-Span-198><span class=mrow id=MathJax-Span-199><span class=mi id=MathJax-Span-200 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>n</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.383em,1001.27em,4.298em,-1000em);top:-3.719em;left:1.056em><span class=texatom id=MathJax-Span-201><span class=mrow id=MathJax-Span-202><span class=mi id=MathJax-Span-203 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>j</span><span class=mo id=MathJax-Span-204 style=font-size:70.7%;font-family:MathJax_Main>=</span><span class=mn id=MathJax-Span-205 style=font-size:70.7%;font-family:MathJax_Main>1</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-206 style=font-family:MathJax_Main>(</span><span class=mi id=MathJax-Span-207 style=font-family:MathJax_Math;font-style:italic>E<span style=display:inline-block;overflow:hidden;height:1px;width:0.026em></span></span><span class=mi id=MathJax-Span-208 style=font-family:MathJax_Math;font-style:italic>T<span style=display:inline-block;overflow:hidden;height:1px;width:0.12em></span></span><span class=mo id=MathJax-Span-209 style=font-family:MathJax_Main>(</span><span class=msubsup id=MathJax-Span-210><span style=display:inline-block;position:relative;width:1.009em;height:0px><span style=position:absolute;clip:rect(3.174em,1000.75em,4.154em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-211 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.643em><span class=texatom id=MathJax-Span-212><span class=mrow id=MathJax-Span-213><span class=mi id=MathJax-Span-214 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>j</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-215 style=font-family:MathJax_Main>)</span><span class=mo id=MathJax-Span-216 style=font-family:MathJax_Main;padding-left:0.222em>−</span><span class=mi id=MathJax-Span-217 style=font-family:MathJax_Math;font-style:italic;padding-left:0.222em>S<span style=display:inline-block;overflow:hidden;height:1px;width:0.032em></span></span><span class=mi id=MathJax-Span-218 style=font-family:MathJax_Math;font-style:italic>T<span style=display:inline-block;overflow:hidden;height:1px;width:0.12em></span></span><span class=mo id=MathJax-Span-219 style=font-family:MathJax_Main>(</span><span class=msubsup id=MathJax-Span-220><span style=display:inline-block;position:relative;width:1.009em;height:0px><span style=position:absolute;clip:rect(3.174em,1000.75em,4.154em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-221 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.643em><span class=texatom id=MathJax-Span-222><span class=mrow id=MathJax-Span-223><span class=mi id=MathJax-Span-224 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>j</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-225 style=font-family:MathJax_Main>)</span><span class=mo id=MathJax-Span-226 style=font-family:MathJax_Main>)</span><span class=mtext id=MathJax-Span-227 style=font-family:MathJax_Main>in AOG</span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(0.838em,1014.24em,1.201em,-1000em);top:-1.271em;left:0em><span style="display:inline-block;overflow:hidden;vertical-align:0em;border-top:1.3px solid;width:14.235em;height:0px"></span><span style=display:inline-block;width:0px;height:1.051em></span></span></span></span><span class=texatom id=MathJax-Span-228><span class=mrow id=MathJax-Span-229></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;position:absolute;width:1.278em;height:0px;clip:rect(-0.968em,1001.18em,0.332em,-1000em);top:0em;right:0em;margin-right:0em><span style=position:absolute;clip:rect(3.104em,1001.18em,4.404em,-1000em);top:-4.072em;right:0em><span class=mtd id=mjx-eqn-4><span class=mrow id=MathJax-Span-151><span class=mtext id=MathJax-Span-152 style=font-family:MathJax_Main>(4)</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-1.294em;border-left:0px solid;width:0px;height:3.144em"></span></span></nobr></span></div><span class=formula><span class=link>View Source</span><img class=document-ft-image aria-describedby=qtip-0 style="display:inline;background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-48)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important" title="Right-click on figure or equation for MathML and additional features." data-hasqtip=0 alt="Right-click on figure for MathML and additional features." src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="20"><rect fill-opacity="0"/></svg>' border=0 height=20 width=24><span class="tex tex2jax_ignore" style=display:none>\begin{equation*}
|
||
ROAFT= \frac{\sum\nolimits_{i=1}^{n}(ET(F_{i})-ST(F_{i}))\text{in
|
||
AOI}}{\sum\nolimits_{j=1}^{n}(ET(F_{j})-ST(F_{j}))\text{in AOG}}
|
||
{\tag{4}}
|
||
\end{equation*}</span></span><p><p><i>Fixation Time</i>(FT) also known as gaze or fixation cluster, is the sum of the durations of all fixations in an AOI. Busjahn <i>et al.</i> <a ref-type=bibr anchor=ref21 id=context_ref_21_4a2 data-range=ref21>[21]</a> compute this metric for every AOI visit separately and called it “Dwell Time”. They define FT, which they call “Total Dwell Time”, as the sum of all dwell times on a AOI over an entire study <a ref-type=bibr anchor=ref21 id=context_ref_21_4a2 data-range=ref21>[21]</a>. Other names for this metric are “Aggregated Fixation Time” <a ref-type=bibr anchor=ref20 id=context_ref_20_4a2 data-range=ref20>[20]</a> and “Total Time of Fixations” <a ref-type=bibr anchor=ref33 id=context_ref_33_4a2 data-range=ref33>[33]</a>.<p><i>Average Duration of Relevant Fixations (ADRF</i>) is the total duration of the fixations for relevant AOIs as in Equation <a ref-type=disp-formula anchor=deqn5 href=https://ieeexplore.ieee.org/document/#deqn5 class=fulltext-link>5</a>. A corresponding metric exists for non-relevant AOIs and is called “Average Duration of Non-Relevant Fixations (ADNRF)”.<disp-formula id=deqn5 class=display-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span></tex-math></disp-formula><div class=MathJax_Display><span class="MathJax MathJax_FullWidth" id=MathJax-Element-12-Frame tabindex=0><nobr><span class=math id=MathJax-Span-230 style=width:100%;display:inline-block;min-width:24.911em><span style=display:inline-block;position:relative;width:100%;height:0px;font-size:111%;min-width:24.911em><span style=position:absolute;clip:rect(2.554em,1020.76em,4.954em,-1000em);top:-4.004em;left:0em;width:100%><span class=mrow id=MathJax-Span-231><span class=mtable id=MathJax-Span-232 style=min-width:24.911em><span style=display:inline-block;position:relative;width:100%;height:0px;min-width:24.911em><span style=display:inline-block;position:absolute;width:20.755em;height:0px;clip:rect(-1.45em,1020.76em,0.95em,-1000em);top:0em;left:50%;margin-left:-10.378em><span style=position:absolute;clip:rect(2.554em,1020.76em,4.954em,-1000em);top:-4.004em;left:0em><span style=display:inline-block;position:relative;width:20.755em;height:0px><span style=position:absolute;clip:rect(2.461em,1020.76em,4.862em,-1000em);top:-3.912em;left:50%;margin-left:-10.378em><span class=mtd id=MathJax-Span-236><span class=mrow id=MathJax-Span-237><span class=mi id=MathJax-Span-238 style=font-family:MathJax_Math;font-style:italic>A</span><span class=mi id=MathJax-Span-239 style=font-family:MathJax_Math;font-style:italic>D</span><span class=mi id=MathJax-Span-240 style=font-family:MathJax_Math;font-style:italic>R</span><span class=mi id=MathJax-Span-241 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span class=mo id=MathJax-Span-242 style=font-family:MathJax_Main;padding-left:0.278em>=</span><span class=mfrac id=MathJax-Span-243 style=padding-left:0.278em><span style=display:inline-block;position:relative;width:16.095em;height:0px;margin-right:0.12em;margin-left:0.12em><span style=position:absolute;clip:rect(3.138em,1015.94em,4.176em,-1000em);top:-4.681em;left:50%;margin-left:-7.988em><span class=mtext id=MathJax-Span-244 style=font-family:MathJax_Main>Fixations Duration of Relevant AOIs</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.138em,1013.85em,4.176em,-1000em);top:-3.318em;left:50%;margin-left:-6.942em><span class=mtext id=MathJax-Span-245 style=font-family:MathJax_Main>Total Number of Relevant AOIs</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(0.838em,1016.1em,1.201em,-1000em);top:-1.271em;left:0em><span style="display:inline-block;overflow:hidden;vertical-align:0em;border-top:1.3px solid;width:16.095em;height:0px"></span><span style=display:inline-block;width:0px;height:1.051em></span></span></span></span><span class=texatom id=MathJax-Span-246><span class=mrow id=MathJax-Span-247></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;position:absolute;width:1.278em;height:0px;clip:rect(-0.808em,1001.18em,0.492em,-1000em);top:0em;right:0em;margin-right:0em><span style=position:absolute;clip:rect(3.104em,1001.18em,4.404em,-1000em);top:-3.912em;right:0em><span class=mtd id=mjx-eqn-5><span class=mrow id=MathJax-Span-234><span class=mtext id=MathJax-Span-235 style=font-family:MathJax_Main>(5)</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.944em;border-left:0px solid;width:0px;height:2.443em"></span></span></nobr></span></div><span class=formula><span class=link>View Source</span><img class=document-ft-image aria-describedby=qtip-0 style="display:inline;background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-48)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important" title="Right-click on figure or equation for MathML and additional features." data-hasqtip=0 alt="Right-click on figure for MathML and additional features." src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="20"><rect fill-opacity="0"/></svg>' border=0 height=20 width=24><span class="tex tex2jax_ignore" style=display:none>\begin{equation*}
|
||
ADRF=
|
||
\frac{\text{Fixations Duration of Relevant AOIs}}{\text{Total Number of Relevant AOIs}}
|
||
{\tag{5}}
|
||
\end{equation*}</span></span><p><p><i>Normalised Rate of Relevant Fixations (NRRF</i>) <a ref-type=bibr anchor=ref12 id=context_ref_12_4a2 data-range=ref12>[12]</a> is shown in Equation 6 and allows comparing two or more stimuli with each other. If a stimulus requires more relevant fixations than another, then it requires more visual effort <a ref-type=bibr anchor=ref12 id=context_ref_12_4a2 data-range=ref12>[12]</a>. To adjust for the size of stimulus, this metric must be normalized using the total number of AOIs in the stimulus <a ref-type=bibr anchor=ref12 id=context_ref_12_4a2 data-range=ref12>[12]</a>.<disp-formula id=deqn6 class=display-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span></tex-math></disp-formula><div class=MathJax_Display><span class="MathJax MathJax_FullWidth" id=MathJax-Element-13-Frame tabindex=0><nobr><span class=math id=MathJax-Span-248 style=width:100%;display:inline-block;min-width:19.76em><span style=display:inline-block;position:relative;width:100%;height:0px;font-size:111%;min-width:19.76em><span style=position:absolute;clip:rect(2.176em,1015.6em,5.633em,-1000em);top:-4.154em;left:0em;width:100%><span class=mrow id=MathJax-Span-249><span class=mtable id=MathJax-Span-250 style=min-width:19.76em><span style=display:inline-block;position:relative;width:100%;height:0px;min-width:19.76em><span style=display:inline-block;position:absolute;width:15.604em;height:0px;clip:rect(-1.978em,1015.6em,1.478em,-1000em);top:0em;left:50%;margin-left:-7.802em><span style=position:absolute;clip:rect(2.176em,1015.6em,5.633em,-1000em);top:-4.154em;left:0em><span style=display:inline-block;position:relative;width:15.604em;height:0px><span style=position:absolute;clip:rect(2.611em,1015.6em,6.068em,-1000em);top:-4.59em;left:50%;margin-left:-7.802em><span class=mtd id=MathJax-Span-254><span class=mrow id=MathJax-Span-255><span class=mi id=MathJax-Span-256 style=font-family:MathJax_Math;font-style:italic>N<span style=display:inline-block;overflow:hidden;height:1px;width:0.085em></span></span><span class=mi id=MathJax-Span-257 style=font-family:MathJax_Math;font-style:italic>R</span><span class=mi id=MathJax-Span-258 style=font-family:MathJax_Math;font-style:italic>R</span><span class=mi id=MathJax-Span-259 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span class=mo id=MathJax-Span-260 style=font-family:MathJax_Main;padding-left:0.278em>=</span><span class=mfrac id=MathJax-Span-261 style=padding-left:0.278em><span style=display:inline-block;position:relative;width:10.875em;height:0px;margin-right:0.12em;margin-left:0.12em><span style=position:absolute;clip:rect(3.138em,1003.09em,4.175em,-1000em);top:-4.681em;left:50%;margin-left:-1.543em><span class=mrow id=MathJax-Span-262><span class=mi id=MathJax-Span-263 style=font-family:MathJax_Math;font-style:italic>A</span><span class=mi id=MathJax-Span-264 style=font-family:MathJax_Math;font-style:italic>D</span><span class=mi id=MathJax-Span-265 style=font-family:MathJax_Math;font-style:italic>R</span><span class=mi id=MathJax-Span-266 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(2.704em,1010.57em,4.804em,-1000em);top:-2.889em;left:50%;margin-left:-5.377em><span class=mrow id=MathJax-Span-267><span class=mo id=MathJax-Span-268 style=vertical-align:0em><span style=font-family:MathJax_Size2>(</span></span><span class=mfrac id=MathJax-Span-269><span style=display:inline-block;position:relative;width:9.321em;height:0px;margin-right:0.12em;margin-left:0.12em><span style=position:absolute;clip:rect(3.348em,1009.18em,4.17em,-1000em);top:-4.423em;left:50%;margin-left:-4.6em><span class=mtext id=MathJax-Span-270 style=font-size:70.7%;font-family:MathJax_Main>Fixation Duration of All AOIs</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.348em,1006.11em,4.17em,-1000em);top:-3.594em;left:50%;margin-left:-3.067em><span class=mtext id=MathJax-Span-271 style=font-size:70.7%;font-family:MathJax_Main>Number of All AOIs</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(0.838em,1009.32em,1.201em,-1000em);top:-1.271em;left:0em><span style="display:inline-block;overflow:hidden;vertical-align:0em;border-top:1.3px solid;width:9.321em;height:0px"></span><span style=display:inline-block;width:0px;height:1.051em></span></span></span></span><span class=mo id=MathJax-Span-272 style=vertical-align:0em><span style=font-family:MathJax_Size2>)</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(0.838em,1010.88em,1.201em,-1000em);top:-1.271em;left:0em><span style="display:inline-block;overflow:hidden;vertical-align:0em;border-top:1.3px solid;width:10.875em;height:0px"></span><span style=display:inline-block;width:0px;height:1.051em></span></span></span></span><span class=texatom id=MathJax-Span-273><span class=mrow id=MathJax-Span-274></span></span></span></span><span style=display:inline-block;width:0px;height:4.154em></span></span></span><span style=display:inline-block;width:0px;height:4.154em></span></span></span><span style=display:inline-block;position:absolute;width:1.278em;height:0px;clip:rect(-1.336em,1001.18em,-0.036em,-1000em);top:0em;right:0em;margin-right:0em><span style=position:absolute;clip:rect(3.104em,1001.18em,4.404em,-1000em);top:-4.44em;right:0em><span class=mtd id=mjx-eqn-6><span class=mrow id=MathJax-Span-252><span class=mtext id=MathJax-Span-253 style=font-family:MathJax_Main>(6)</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.154em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-1.53em;border-left:0px solid;width:0px;height:3.615em"></span></span></nobr></span></div><span class=formula><span class=link>View Source</span><img class=document-ft-image aria-describedby=qtip-0 style="display:inline;background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-48)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important" title="Right-click on figure or equation for MathML and additional features." data-hasqtip=0 alt="Right-click on figure for MathML and additional features." src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="20"><rect fill-opacity="0"/></svg>' border=0 height=20 width=24><span class="tex tex2jax_ignore" style=display:none>\begin{equation*}
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NRRF= \frac{ADRF}{\left(\frac{\text{Fixation Duration of All
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||
AOIs}}{\text{Number of All AOIs}}\right)}
|
||
{\tag{6}}
|
||
\end{equation*}</span></span><p></p></div></div><div class=section_2 id=sec4b><h3>B. Metrics Based on Saccades</h3><p><a ref-type=table anchor=table3 class=fulltext-link>Table III</a> presents a list of saccade-based metrics used by previous studies to measure visual effort. Higher numbers of saccades indicate more searching <a ref-type=bibr anchor=ref5 id=context_ref_5_4b data-range=ref5>[5]</a>, <a ref-type=bibr anchor=ref36 id=context_ref_36_4b data-range=ref36>[36]</a>.<p><i>Number of Saccades</i> and <i>Saccade Duration</i> are metrics whose definitions are identical to the corresponding fixations-based metrics, see the previous subsection. They also have similar interpretations in relation to the visual effort.<p><i>Regressions Rate</i> indicates the percentage of backward saccades of any length <a ref-type=bibr anchor=ref22 id=context_ref_22_4b data-range=ref22>[22]</a>. Good readers are characterized by few regressions <a ref-type=bibr anchor=ref22 id=context_ref_22_4b data-range=ref22>[22]</a>, thus higher regressions rates denote that the participants have difficulty reading and understanding a stimulus <a ref-type=bibr anchor=ref5 id=context_ref_5_4b data-range=ref5>[5]</a>, <a ref-type=bibr anchor=ref36 id=context_ref_36_4b data-range=ref36>[36]</a>.
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||
<div class="figure figure-full table" id=table1><div class=figcaption><b class=title>Table I. </b>Metrics for visual effort based on the number of fixations</div><div class=img-wrap><a href=https://ieeexplore.ieee.org/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-table-1-source-large.gif><img class="document-ft-image fadeIn" src="data:image/gif;base64,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" alt="Table I.- Metrics for visual effort based on the number of fixations" data-lazy=/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-table-1-source-small.gif data-alt="Table I.- Metrics for visual effort based on the number of fixations"><div class=zoom title="View Larger Image"></div></a></div></div>
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<div class="figure figure-full table" id=table2><div class=figcaption><b class=title>Table II. </b>Metrics for visual effort based on the duration of fixations</div><div class=img-wrap><a href=https://ieeexplore.ieee.org/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-table-2-source-large.gif><img class="document-ft-image fadeIn" 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" alt="Table II.- Metrics for visual effort based on the duration of fixations" data-lazy=/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-table-2-source-small.gif data-alt="Table II.- Metrics for visual effort based on the duration of fixations"><div class=zoom title="View Larger Image"></div></a></div></div><p></p></div><div class=section_2 id=sec4c><h3>C. Metrics Based on Scanpaths</h3><p><a ref-type=table anchor=table4 class=fulltext-link>Table IV</a> shows scanpath-based metrics for visual effort used by previous studies.<p><i>Attention Switching Frequency</i> measures the dynamics of visual attention using the total number of switches between a set of AOIs per minute. A switch happens whenever the participant's focus of attention changes between any AOIs.<p class=has-inline-formula><i>Transitional Matrix</i> is a tabular representation of the frequencies of transitions between AOIs <a ref-type=bibr anchor=ref39 id=context_ref_39_4c data-range=ref39>[39]</a> computed using Equation 7 in which <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-14-Frame tabindex=0><nobr><span class=math id=MathJax-Span-275 style=width:0.703em;display:inline-block><span style=display:inline-block;position:relative;width:0.601em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.66em,1000.58em,2.413em,-1000em);top:-2.252em;left:0em><span class=mrow id=MathJax-Span-276><span class=mi id=MathJax-Span-277 style=font-family:MathJax_Math;font-style:italic>n</span></span><span style=display:inline-block;width:0px;height:2.252em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.068em;border-left:0px solid;width:0px;height:0.614em"></span></span></nobr></span></tex-math></inline-formula> is the number of fixations in a AOI (for one cell) and <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-15-Frame tabindex=0><nobr><span class=math id=MathJax-Span-278 style=width:0.853em;display:inline-block><span style=display:inline-block;position:relative;width:0.751em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.51em,1000.75em,2.41em,-1000em);top:-2.102em;left:0em><span class=mrow id=MathJax-Span-279><span class=msubsup id=MathJax-Span-280><span style=display:inline-block;position:relative;width:0.752em;height:0px><span style=position:absolute;clip:rect(3.412em,1000.43em,4.165em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-281 style=font-family:MathJax_Math;font-style:italic>c</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.433em><span class=texatom id=MathJax-Span-282><span class=mrow id=MathJax-Span-283><span class=mi id=MathJax-Span-284 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span><span style=display:inline-block;width:0px;height:2.102em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.231em;border-left:0px solid;width:0px;height:0.777em"></span></span></nobr></span></tex-math></inline-formula> is equal to 1 if the AOI number <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-16-Frame tabindex=0><nobr><span class=math id=MathJax-Span-285 style=width:0.403em;display:inline-block><span style=display:inline-block;position:relative;width:0.35em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.441em,1000.31em,2.413em,-1000em);top:-2.252em;left:0em><span class=mrow id=MathJax-Span-286><span class=mi id=MathJax-Span-287 style=font-family:MathJax_Math;font-style:italic>i</span></span><span style=display:inline-block;width:0px;height:2.252em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.068em;border-left:0px solid;width:0px;height:0.857em"></span></span></nobr></span></tex-math></inline-formula> is visited and O otherwise. To compare two transition matrices, the density of a transition matrix is the number of non-zero matrix cells divided by total number of cells. Higher density indicates extensive search with inefficient scanning on a stimulus, while a sparse matrix is a proxy for an efficient and directed search <a ref-type=bibr anchor=ref5 id=context_ref_5_4c data-range=ref5>[5]</a>
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<disp-formula id=deqn7 class=display-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span></tex-math></disp-formula><div class=MathJax_Display><span class="MathJax MathJax_FullWidth" id=MathJax-Element-17-Frame tabindex=0><nobr><span class=math id=MathJax-Span-288 style=width:100%;display:inline-block;min-width:13.79em><span style=display:inline-block;position:relative;width:100%;height:0px;font-size:111%;min-width:13.79em><span style=position:absolute;clip:rect(2.394em,1009.63em,5.114em,-1000em);top:-4.004em;left:0em;width:100%><span class=mrow id=MathJax-Span-289><span class=mtable id=MathJax-Span-290 style=min-width:13.79em><span style=display:inline-block;position:relative;width:100%;height:0px;min-width:13.79em><span style=display:inline-block;position:absolute;width:9.634em;height:0px;clip:rect(-1.61em,1009.63em,1.11em,-1000em);top:0em;left:50%;margin-left:-4.817em><span style=position:absolute;clip:rect(2.394em,1009.63em,5.114em,-1000em);top:-4.004em;left:0em><span style=display:inline-block;position:relative;width:9.634em;height:0px><span style=position:absolute;clip:rect(2.17em,1009.63em,4.89em,-1000em);top:-3.78em;left:50%;margin-left:-4.817em><span class=mtd id=MathJax-Span-294><span class=mrow id=MathJax-Span-295><span class=mi id=MathJax-Span-296 style=font-family:MathJax_Math;font-style:italic>T<span style=display:inline-block;overflow:hidden;height:1px;width:0.12em></span></span><span class=mi id=MathJax-Span-297 style=font-family:MathJax_Math;font-style:italic>M<span style=display:inline-block;overflow:hidden;height:1px;width:0.081em></span></span><span class=mo id=MathJax-Span-298 style=font-family:MathJax_Main;padding-left:0.278em>=</span><span class=mfrac id=MathJax-Span-299 style=padding-left:0.278em><span style=display:inline-block;position:relative;width:6.305em;height:0px;margin-right:0.12em;margin-left:0.12em><span style=position:absolute;clip:rect(3.064em,1006.19em,4.584em,-1000em);top:-4.899em;left:50%;margin-left:-3.092em><span class=mrow id=MathJax-Span-300><span class=msubsup id=MathJax-Span-301><span style=display:inline-block;position:relative;width:2.279em;height:0px><span style=position:absolute;clip:rect(3.104em,1001em,4.404em,-1000em);top:-4.004em;left:0em><span class=mo id=MathJax-Span-302 style=font-family:MathJax_Size1;vertical-align:0em>∑</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.541em,1000.5em,4.162em,-1000em);top:-4.481em;left:1.056em><span class=texatom id=MathJax-Span-303><span class=mrow id=MathJax-Span-304><span class=mi id=MathJax-Span-305 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>n</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.383em,1001.22em,4.162em,-1000em);top:-3.719em;left:1.056em><span class=texatom id=MathJax-Span-306><span class=mrow id=MathJax-Span-307><span class=mi id=MathJax-Span-308 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>i</span><span class=mo id=MathJax-Span-309 style=font-size:70.7%;font-family:MathJax_Main>=</span><span class=mn id=MathJax-Span-310 style=font-size:70.7%;font-family:MathJax_Main>1</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=msubsup id=MathJax-Span-311 style=padding-left:0.167em><span style=display:inline-block;position:relative;width:2.326em;height:0px><span style=position:absolute;clip:rect(3.104em,1001em,4.404em,-1000em);top:-4.004em;left:0em><span class=mo id=MathJax-Span-312 style=font-family:MathJax_Size1;vertical-align:0em>∑</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.541em,1000.5em,4.162em,-1000em);top:-4.481em;left:1.056em><span class=texatom id=MathJax-Span-313><span class=mrow id=MathJax-Span-314><span class=mi id=MathJax-Span-315 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>n</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.383em,1001.27em,4.298em,-1000em);top:-3.719em;left:1.056em><span class=texatom id=MathJax-Span-316><span class=mrow id=MathJax-Span-317><span class=mi id=MathJax-Span-318 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>j</span><span class=mo id=MathJax-Span-319 style=font-size:70.7%;font-family:MathJax_Main>=</span><span class=mn id=MathJax-Span-320 style=font-size:70.7%;font-family:MathJax_Main>1</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=msubsup id=MathJax-Span-321 style=padding-left:0.167em><span style=display:inline-block;position:relative;width:1.246em;height:0px><span style=position:absolute;clip:rect(3.412em,1000.43em,4.165em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-322 style=font-family:MathJax_Math;font-style:italic>c</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.433em><span class=texatom id=MathJax-Span-323><span class=mrow id=MathJax-Span-324><span class=mi id=MathJax-Span-325 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>ι</span><span class=mo id=MathJax-Span-326 style=font-size:70.7%;font-family:MathJax_Main>,</span><span class=mi id=MathJax-Span-327 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>j</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.094em,1001.03em,4.165em,-1000em);top:-3.279em;left:50%;margin-left:-0.514em><span class=msubsup id=MathJax-Span-328><span style=display:inline-block;position:relative;width:1.029em;height:0px><span style=position:absolute;clip:rect(3.412em,1000.58em,4.165em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-329 style=font-family:MathJax_Math;font-style:italic>n</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-4.293em;left:0.6em><span class=texatom id=MathJax-Span-330><span class=mrow id=MathJax-Span-331><span class=mn id=MathJax-Span-332 style=font-size:70.7%;font-family:MathJax_Main>2</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(0.838em,1006.31em,1.201em,-1000em);top:-1.271em;left:0em><span style="display:inline-block;overflow:hidden;vertical-align:0em;border-top:1.3px solid;width:6.305em;height:0px"></span><span style=display:inline-block;width:0px;height:1.051em></span></span></span></span><span class=texatom id=MathJax-Span-333><span class=mrow id=MathJax-Span-334></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;position:absolute;width:1.278em;height:0px;clip:rect(-0.676em,1001.18em,0.624em,-1000em);top:0em;right:0em;margin-right:0em><span style=position:absolute;clip:rect(3.104em,1001.18em,4.404em,-1000em);top:-3.78em;right:0em><span class=mtd id=mjx-eqn-7><span class=mrow id=MathJax-Span-292><span class=mtext id=MathJax-Span-293 style=font-family:MathJax_Main>(7)</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-1.121em;border-left:0px solid;width:0px;height:2.798em"></span></span></nobr></span></div><span class=formula><span class=link>View Source</span><img class=document-ft-image aria-describedby=qtip-0 style="display:inline;background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-48)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important" title="Right-click on figure or equation for MathML and additional features." data-hasqtip=0 alt="Right-click on figure for MathML and additional features." src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="20"><rect fill-opacity="0"/></svg>' border=0 height=20 width=24><span class="tex tex2jax_ignore" style=display:none>\begin{equation*}
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TM= \frac{\sum\nolimits_{i=1}^{n}\sum\nolimits_{j=1}^{n}c_{\iota,j}}{n^{2}}
|
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{\tag{7}}
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\end{equation*}</span></span><p><p class=has-inline-formula><i>Edit Distance</i> uses the Levenshtein algorithm, which computes the minimum editing cost to transform one string into another using three basic operations (insertion, deletion, and substitution). (For each operation, the cost of one is considered.) It only uses the location of fixations, not their duration. Mathematically, the Levenshtein distance between two strings <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-18-Frame tabindex=0><nobr><span class=math id=MathJax-Span-335 style=width:0.603em;display:inline-block><span style=display:inline-block;position:relative;width:0.551em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.661em,1000.53em,2.412em,-1000em);top:-2.252em;left:0em><span class=mrow id=MathJax-Span-336><span class=mi id=MathJax-Span-337 style=font-family:MathJax_Math;font-style:italic>a</span></span><span style=display:inline-block;width:0px;height:2.252em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.067em;border-left:0px solid;width:0px;height:0.612em"></span></span></nobr></span></tex-math></inline-formula> and <inline-formula class=inline-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span><span class=MathJax id=MathJax-Element-19-Frame tabindex=0><nobr><span class=math id=MathJax-Span-338 style=width:0.503em;display:inline-block><span style=display:inline-block;position:relative;width:0.45em;height:0px;font-size:111%><span style=position:absolute;clip:rect(1.408em,1000.44em,2.413em,-1000em);top:-2.252em;left:0em><span class=mrow id=MathJax-Span-339><span class=mi id=MathJax-Span-340 style=font-family:MathJax_Math;font-style:italic>b</span></span><span style=display:inline-block;width:0px;height:2.252em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-0.068em;border-left:0px solid;width:0px;height:0.894em"></span></span></nobr></span></tex-math></inline-formula> is Calculated recursively as in Equation 8.<disp-formula id=deqn8 class=display-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span></tex-math></disp-formula><div class=MathJax_Display><span class="MathJax MathJax_FullWidth" id=MathJax-Element-20-Frame tabindex=0><nobr><span class=math id=MathJax-Span-341 style=width:100%;display:inline-block;min-width:34.011em><span style=display:inline-block;position:relative;width:100%;height:0px;font-size:111%;min-width:34.011em><span style=position:absolute;clip:rect(3.087em,1029.86em,8.325em,-1000em);top:-5.956em;left:0em;width:100%><span class=mrow id=MathJax-Span-342><span class=mtable id=MathJax-Span-343 style=min-width:34.011em><span style=display:inline-block;position:relative;width:100%;height:0px;min-width:34.011em><span style=display:inline-block;position:absolute;width:29.855em;height:0px;clip:rect(-2.869em,1029.86em,2.369em,-1000em);top:0em;left:50%;margin-left:-14.927em><span style=position:absolute;clip:rect(3.087em,1029.86em,8.325em,-1000em);top:-5.956em;left:0em><span style=display:inline-block;position:relative;width:29.855em;height:0px><span style=position:absolute;clip:rect(3.087em,1029.86em,8.325em,-1000em);top:-5.956em;left:50%;margin-left:-14.927em><span class=mtd id=MathJax-Span-347><span class=mrow id=MathJax-Span-348><span class=mi id=MathJax-Span-349 style=font-family:MathJax_Math;font-style:italic>l</span><span class=mi id=MathJax-Span-350 style=font-family:MathJax_Math;font-style:italic>e</span><span class=msubsup id=MathJax-Span-351><span style=display:inline-block;position:relative;width:1.434em;height:0px><span style=position:absolute;clip:rect(3.411em,1000.47em,4.165em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-352 style=font-family:MathJax_Math;font-style:italic>v</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.485em><span class=texatom id=MathJax-Span-353><span class=mrow id=MathJax-Span-354><span class=mi id=MathJax-Span-355 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>a</span><span class=mo id=MathJax-Span-356 style=font-size:70.7%;font-family:MathJax_Main>,</span><span class=mi id=MathJax-Span-357 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>b</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-358 style=font-family:MathJax_Main>(</span><span class=mi id=MathJax-Span-359 style=font-family:MathJax_Math;font-style:italic>i</span><span class=mo id=MathJax-Span-360 style=font-family:MathJax_Main>,</span><span class=mtext id=MathJax-Span-361 style=font-family:MathJax_Main;padding-left:0.167em> </span><span class=mi id=MathJax-Span-362 style=font-family:MathJax_Math;font-style:italic>j</span><span class=mo id=MathJax-Span-363 style=font-family:MathJax_Main>)</span><span class=mo id=MathJax-Span-364 style=font-family:MathJax_Main;padding-left:0.278em>=</span><span class=mrow id=MathJax-Span-365 style=padding-left:0.278em><span class=mo id=MathJax-Span-366 style=vertical-align:2.719em><span style=display:inline-block;position:relative;width:0.889em;height:0px><span style=position:absolute;font-family:MathJax_Size4;top:-3.105em;left:0em>⎧<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;font-family:MathJax_Size4;top:0.035em;left:0em>⎩<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;font-family:MathJax_Size4;top:-1.285em;left:0em>⎨<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=font-family:MathJax_Size4;position:absolute;top:-2.862em;left:0em>⎪<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=font-family:MathJax_Size4;position:absolute;top:-2.62em;left:0em>⎪<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=font-family:MathJax_Size4;position:absolute;top:-2.377em;left:0em>⎪<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=font-family:MathJax_Size4;position:absolute;top:-0.392em;left:0em>⎪<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=font-family:MathJax_Size4;position:absolute;top:-0.15em;left:0em>⎪<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=font-family:MathJax_Size4;position:absolute;top:0.093em;left:0em>⎪<span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mtable id=MathJax-Span-367 style=padding-right:0.167em;padding-left:0.167em><span style=display:inline-block;position:relative;width:22.703em;height:0px><span style=position:absolute;clip:rect(3.087em,1015.48em,8.275em,-1000em);top:-5.906em;left:0em><span style=display:inline-block;position:relative;width:15.478em;height:0px><span style=position:absolute;clip:rect(3.104em,1004.11em,4.404em,-1000em);top:-5.923em;left:0em><span class=mtd id=MathJax-Span-368><span class=mrow id=MathJax-Span-369><span class=mi id=MathJax-Span-370 style=font-family:MathJax_Math;font-style:italic>m</span><span class=mi id=MathJax-Span-371 style=font-family:MathJax_Math;font-style:italic>a</span><span class=mi id=MathJax-Span-372 style=font-family:MathJax_Math;font-style:italic>x</span><span class=mo id=MathJax-Span-373 style=font-family:MathJax_Main>(</span><span class=mi id=MathJax-Span-374 style=font-family:MathJax_Math;font-style:italic>i</span><span class=mo id=MathJax-Span-375 style=font-family:MathJax_Main>,</span><span class=mtext id=MathJax-Span-376 style=font-family:MathJax_Main;padding-left:0.167em> </span><span class=mi id=MathJax-Span-377 style=font-family:MathJax_Math;font-style:italic>j</span><span class=mo id=MathJax-Span-378 style=font-family:MathJax_Main>)</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(2.46em,1015.48em,6.449em,-1000em);top:-4.08em;left:0em><span class=mtd id=MathJax-Span-390><span class=mrow id=MathJax-Span-391><span class=mi id=MathJax-Span-392 style=font-family:MathJax_Math;font-style:italic>m</span><span class=mi id=MathJax-Span-393 style=font-family:MathJax_Math;font-style:italic>i</span><span class=mi id=MathJax-Span-394 style=font-family:MathJax_Math;font-style:italic>n</span><span class=mo id=MathJax-Span-395 style=font-family:MathJax_Main;padding-left:0.278em>=</span><span class=mrow id=MathJax-Span-396 style=padding-left:0.278em><span class=mo id=MathJax-Span-397 style=vertical-align:2.094em><span style=display:inline-block;position:relative;width:0.889em;height:0px><span style=position:absolute;font-family:MathJax_Size4;top:-3.105em;left:0em>⎧<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;font-family:MathJax_Size4;top:-1.215em;left:0em>⎩<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;font-family:MathJax_Size4;top:-1.91em;left:0em>⎨<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=font-family:MathJax_Size4;position:absolute;top:-2.932em;left:0em>⎪<span style=display:inline-block;width:0px;height:4.004em></span></span><span style=font-family:MathJax_Size4;position:absolute;top:-1.087em;left:0em>⎪<span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mtable id=MathJax-Span-398 style=padding-right:0.167em;padding-left:0.167em><span style=display:inline-block;position:relative;width:11.098em;height:0px><span style=position:absolute;clip:rect(2.46em,1011.1em,6.399em,-1000em);top:-4.655em;left:0em><span style=display:inline-block;position:relative;width:11.098em;height:0px><span style=position:absolute;clip:rect(3.104em,1007.55em,4.441em,-1000em);top:-5.298em;left:0em><span class=mtd id=MathJax-Span-399><span class=mrow id=MathJax-Span-400><span class=mi id=MathJax-Span-401 style=font-family:MathJax_Math;font-style:italic>l</span><span class=mi id=MathJax-Span-402 style=font-family:MathJax_Math;font-style:italic>e</span><span class=msubsup id=MathJax-Span-403><span style=display:inline-block;position:relative;width:1.434em;height:0px><span style=position:absolute;clip:rect(3.411em,1000.47em,4.165em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-404 style=font-family:MathJax_Math;font-style:italic>v</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.485em><span class=texatom id=MathJax-Span-405><span class=mrow id=MathJax-Span-406><span class=mi id=MathJax-Span-407 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>a</span><span class=mo id=MathJax-Span-408 style=font-size:70.7%;font-family:MathJax_Main>,</span><span class=mi id=MathJax-Span-409 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>b</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-410 style=font-family:MathJax_Main>(</span><span class=mi id=MathJax-Span-411 style=font-family:MathJax_Math;font-style:italic>i</span><span class=mo id=MathJax-Span-412 style=font-family:MathJax_Main;padding-left:0.222em>−</span><span class=mn id=MathJax-Span-413 style=font-family:MathJax_Main;padding-left:0.222em>1</span><span class=mo id=MathJax-Span-414 style=font-family:MathJax_Main>,</span><span class=mi id=MathJax-Span-415 style=font-family:MathJax_Math;font-style:italic;padding-left:0.167em>j</span><span class=mo id=MathJax-Span-416 style=font-family:MathJax_Main>)</span><span class=mo id=MathJax-Span-417 style=font-family:MathJax_Main;padding-left:0.222em>+</span><span class=mn id=MathJax-Span-418 style=font-family:MathJax_Main;padding-left:0.222em>1</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.104em,1007.55em,4.441em,-1000em);top:-4.011em;left:0em><span class=mtd id=MathJax-Span-419><span class=mrow id=MathJax-Span-420><span class=mi id=MathJax-Span-421 style=font-family:MathJax_Math;font-style:italic>l</span><span class=mi id=MathJax-Span-422 style=font-family:MathJax_Math;font-style:italic>e</span><span class=msubsup id=MathJax-Span-423><span style=display:inline-block;position:relative;width:1.434em;height:0px><span style=position:absolute;clip:rect(3.411em,1000.47em,4.165em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-424 style=font-family:MathJax_Math;font-style:italic>v</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.485em><span class=texatom id=MathJax-Span-425><span class=mrow id=MathJax-Span-426><span class=mi id=MathJax-Span-427 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>a</span><span class=mo id=MathJax-Span-428 style=font-size:70.7%;font-family:MathJax_Main>,</span><span class=mi id=MathJax-Span-429 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>b</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-430 style=font-family:MathJax_Main>(</span><span class=mi id=MathJax-Span-431 style=font-family:MathJax_Math;font-style:italic>i</span><span class=mo id=MathJax-Span-432 style=font-family:MathJax_Main>,</span><span class=mi id=MathJax-Span-433 style=font-family:MathJax_Math;font-style:italic;padding-left:0.167em>j</span><span class=mo id=MathJax-Span-434 style=font-family:MathJax_Main;padding-left:0.222em>−</span><span class=mn id=MathJax-Span-435 style=font-family:MathJax_Main;padding-left:0.222em>1</span><span class=mo id=MathJax-Span-436 style=font-family:MathJax_Main>)</span><span class=mo id=MathJax-Span-437 style=font-family:MathJax_Main;padding-left:0.222em>+</span><span class=mn id=MathJax-Span-438 style=font-family:MathJax_Main;padding-left:0.222em>1</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.104em,1011.1em,4.468em,-1000em);top:-2.724em;left:0em><span class=mtd id=MathJax-Span-439><span class=mrow id=MathJax-Span-440><span class=mi id=MathJax-Span-441 style=font-family:MathJax_Math;font-style:italic>l</span><span class=mi id=MathJax-Span-442 style=font-family:MathJax_Math;font-style:italic>e</span><span class=msubsup id=MathJax-Span-443><span style=display:inline-block;position:relative;width:1.434em;height:0px><span style=position:absolute;clip:rect(3.411em,1000.47em,4.165em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-444 style=font-family:MathJax_Math;font-style:italic>v</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.854em;left:0.485em><span class=texatom id=MathJax-Span-445><span class=mrow id=MathJax-Span-446><span class=mi id=MathJax-Span-447 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>a</span><span class=mo id=MathJax-Span-448 style=font-size:70.7%;font-family:MathJax_Main>,</span><span class=mi id=MathJax-Span-449 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>b</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-450 style=font-family:MathJax_Main>(</span><span class=mi id=MathJax-Span-451 style=font-family:MathJax_Math;font-style:italic>i</span><span class=mo id=MathJax-Span-452 style=font-family:MathJax_Main;padding-left:0.222em>−</span><span class=mn id=MathJax-Span-453 style=font-family:MathJax_Main;padding-left:0.222em>1</span><span class=mo id=MathJax-Span-454 style=font-family:MathJax_Main>,</span><span class=mi id=MathJax-Span-455 style=font-family:MathJax_Math;font-style:italic;padding-left:0.167em>j</span><span class=mo id=MathJax-Span-456 style=font-family:MathJax_Main;padding-left:0.222em>−</span><span class=mn id=MathJax-Span-457 style=font-family:MathJax_Main;padding-left:0.222em>1</span><span class=mo id=MathJax-Span-458 style=font-family:MathJax_Main>)</span><span class=mo id=MathJax-Span-459 style=font-family:MathJax_Main;padding-left:0.222em>+</span><span class=msubsup id=MathJax-Span-460 style=padding-left:0.222em><span style=display:inline-block;position:relative;width:2.254em;height:0px><span style=position:absolute;clip:rect(3.188em,1000.43em,4.154em,-1000em);top:-4.004em;left:0em><span class=mn id=MathJax-Span-461 style=font-family:MathJax_Main>1</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.842em;left:0.5em><span class=texatom id=MathJax-Span-462><span class=mrow id=MathJax-Span-463><span class=msubsup id=MathJax-Span-464><span style=display:inline-block;position:relative;width:0.6em;height:0px><span style=position:absolute;clip:rect(3.542em,1000.36em,4.161em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-465 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>a</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.898em;left:0.374em><span class=texatom id=MathJax-Span-466><span class=mrow id=MathJax-Span-467><span class=mi id=MathJax-Span-468 style=font-size:50%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span><span class=mo id=MathJax-Span-469 style=font-size:70.7%;font-family:MathJax_Main>≠</span><span class=msubsup id=MathJax-Span-470><span style=display:inline-block;position:relative;width:0.529em;height:0px><span style=position:absolute;clip:rect(3.363em,1000.3em,4.162em,-1000em);top:-4.004em;left:0em><span class=mi id=MathJax-Span-471 style=font-size:70.7%;font-family:MathJax_Math;font-style:italic>b</span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;top:-3.898em;left:0.303em><span class=texatom id=MathJax-Span-472><span class=mrow id=MathJax-Span-473><span class=mi id=MathJax-Span-474 style=font-size:50%;font-family:MathJax_Math;font-style:italic>i</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;width:0px;height:4.655em></span></span></span></span><span class=mo id=MathJax-Span-475></span></span></span></span><span style=display:inline-block;width:0px;height:4.705em></span></span></span><span style=display:inline-block;width:0px;height:5.906em></span></span><span style=position:absolute;clip:rect(1.485em,1006.19em,5.101em,-1000em);top:-4.304em;left:16.478em><span style=display:inline-block;position:relative;width:6.225em;height:0px><span style=position:absolute;clip:rect(3.104em,1006.19em,4.404em,-1000em);top:-5.923em;left:0em><span class=mtd id=MathJax-Span-379><span class=mrow id=MathJax-Span-380><span class=mtext id=MathJax-Span-381 style=font-family:MathJax_Main>if</span><span class=mtext id=MathJax-Span-382 style=font-family:MathJax_Main> </span><span class=mtext id=MathJax-Span-383 style=font-family:MathJax_Main>min</span><span class=mo id=MathJax-Span-384 style=font-family:MathJax_Main>(</span><span class=mtext id=MathJax-Span-385 style=font-family:MathJax_Main>i,j</span><span class=mo id=MathJax-Span-386 style=font-family:MathJax_Main>)</span><span class=mtext id=MathJax-Span-387 style=font-family:MathJax_Main> </span><span class=mo id=MathJax-Span-388 style=font-family:MathJax_Main;padding-left:0.278em>=</span><span class=mn id=MathJax-Span-389 style=font-family:MathJax_Main;padding-left:0.278em>0</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.149em,1004.37em,4.176em,-1000em);top:-3.379em;left:0em><span class=mtd id=MathJax-Span-476><span class=mrow id=MathJax-Span-477><span class=mtext id=MathJax-Span-478 style=font-family:MathJax_Main>Otherwise</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;width:0px;height:4.304em></span></span></span></span><span class=mo id=MathJax-Span-479></span></span><span class=texatom id=MathJax-Span-480 style=padding-left:0.167em><span class=mrow id=MathJax-Span-481></span></span></span></span><span style=display:inline-block;width:0px;height:5.956em></span></span></span><span style=display:inline-block;width:0px;height:5.956em></span></span></span><span style=display:inline-block;position:absolute;width:1.278em;height:0px;clip:rect(-0.9em,1001.18em,0.4em,-1000em);top:0em;right:0em;margin-right:0em><span style=position:absolute;clip:rect(3.104em,1001.18em,4.404em,-1000em);top:-4.004em;right:0em><span class=mtd id=mjx-eqn-8><span class=mrow id=MathJax-Span-345><span class=mtext id=MathJax-Span-346 style=font-family:MathJax_Main>(8)</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span></span><span style=display:inline-block;width:0px;height:5.956em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-2.519em;border-left:0px solid;width:0px;height:5.593em"></span></span></nobr></span></div><span class=formula><span class=link>View Source</span><img class=document-ft-image aria-describedby=qtip-0 style="display:inline;background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-48)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important" title="Right-click on figure or equation for MathML and additional features." data-hasqtip=0 alt="Right-click on figure for MathML and additional features." src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="20"><rect fill-opacity="0"/></svg>' border=0 height=20 width=24><span class="tex tex2jax_ignore" style=display:none>\begin{equation*}
|
||
lev_{a,b}(i,\ j)=\begin{cases}
|
||
max(i,\ j)&\text{if} \ \text{min}(\text{i,j})\ =0\\
|
||
min=\begin{cases}
|
||
lev_{a,b}(i-1,j)+1 \\
|
||
lev_{a,b}(i,j-1)+1 \\
|
||
lev_{a,b}(i-1,j-1)+1_{a_{i}\neq b_{i}}
|
||
\end{cases}
|
||
&\text{Otherwise}
|
||
\end{cases}
|
||
{\tag{8}}
|
||
\end{equation*}</span></span>
|
||
<p><div class="figure figure-full table" id=table3><div class=figcaption><b class=title>Table III. </b>Metrics for visual effort based on saccades.</div><div class=img-wrap><a href=https://ieeexplore.ieee.org/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-table-3-source-large.gif><img class="document-ft-image fadeIn" src=data:image/gif;base64,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 alt="Table III.- Metrics for visual effort based on saccades." data-lazy=/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-table-3-source-small.gif data-alt="Table III.- Metrics for visual effort based on saccades."><div class=zoom title="View Larger Image"></div></a></div></div>
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<div class="figure figure-full table" id=table4><div class=figcaption><b class=title>Table IV. </b>Metrics for visual effort based on scanpaths</div><div class=img-wrap><a href=https://ieeexplore.ieee.org/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-table-4-source-large.gif><img class="document-ft-image fadeIn" 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" alt="Table IV.- Metrics for visual effort based on scanpaths" data-lazy=/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-table-4-source-small.gif data-alt="Table IV.- Metrics for visual effort based on scanpaths"><div class=zoom title="View Larger Image"></div></a></div></div><p><p><i>Sequential PAttem Mining (SPAM</i>) <a ref-type=bibr anchor=ref40 id=context_ref_40_4c data-range=ref40>[40]</a> uses the depth-first algorithm to mine and compare scanpaths by considering both fixation locations and durations.<p><i>ScanMatch</i> <a ref-type=bibr anchor=ref41 id=context_ref_41_4c data-range=ref41>[41]</a> compares scanpaths based on the Needleman-Wunsch algorithm used in bioinformatics to compare sequences of DNA. After adjusting the length of the scan paths based on the fixations durations using a temporal binning, this metric calculates the similarity score to compare two scanpaths.<p><i>Linearity</i> determines a participant's search strategy of a stimulus <a ref-type=bibr anchor=ref36 id=context_ref_36_4c data-range=ref36>[36]</a>. For source code, “linearity represents how closely readers follow a text's natural reading order” <a ref-type=bibr anchor=ref22 id=context_ref_22_4c data-range=ref22>[22]</a>. It uses eye-movements linearity (left-to-right and top-to bottom) to characterize how developers read source code. A set of local and global metrics exist to measure linearity. For example, local metrics are as follows:
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<ul style=list-style-type:disc><li><p>Vertical Next Text is the percentage of (forward)</p><li><p>saccades that happen either on the same line or move only one line below.</p><li><p>Vertical Later Text is the percentage of (forward)</p><li><p>saccades that happen either on the same line or move any number of lines below.</p><li><p>Horizontal Later Text is the percentage of (forward)</p><li><p>saccades that happen on the same line.</p><li><p>Regression Rate is defined in <a ref-type=sec anchor=sec4b class=fulltext-link>Section IV-B</a>.</p><li><p>Line Regression Rate is the percentage of backward saccades that happen on the same line.</p><li><p>Saccade Length is defined as the average Euclidean distance between consecutive fixations.</p><li><p>Element Coverage is the percentage of words that a participant puts visual attention on.</p></ul><p><p>Global metrics use the order in which source code is read:
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<ul style=list-style-type:disc><li><p>Story Order is the extent to which the orders of fixations are similar (aligned) to the linear text reading order (left-to-right), using the <i>ScanMatch</i> metric <a ref-type=bibr anchor=ref41 id=context_ref_41_4c data-range=ref41>[41]</a>.</p><li><p>Execution Order is the extent to which the orders of fixations are similar (aligned) to the program control flow and also uses the <i>ScanMatch</i> metric <a ref-type=bibr anchor=ref41 id=context_ref_41_4c data-range=ref41>[41]</a>.</p></ul><p></p></div><div class=section_2 id=sec4d><h3>D. Pupil Size and Blink Rate</h3><p><a ref-type=table anchor=table5 class=fulltext-link>Table V</a> presents previous studies that measured visual effort using pupil sizes and blink rates. These two metrics are associated with cognitive workload. Lower blink rates indicate higher workload or attention <a ref-type=bibr anchor=ref32 id=context_ref_32_4d data-range=ref32>[32]</a> while higher rates are associated with fatigue <a ref-type=bibr anchor=ref36 id=context_ref_36_4d data-range=ref36>[36]</a>. Larger pupil sizes indicate more effort <a ref-type=bibr anchor=ref36 id=context_ref_36_4d data-range=ref36>[36]</a>. In addition, Beatty reported that the maximum amplitude of pupil sizes indicates memory and processing load that fluctuates with task difficulty <a ref-type=bibr anchor=ref11 id=context_ref_11_4d data-range=ref11>[11]</a>.</p></div></div>
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<div class=section id=sec5><div class="header article-hdr"><div class=kicker>
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SECTION V.</div><h2>Discussion</h2></div><div class=section_2 id=sec5a><h3>A. Data Analysis</h3><p>Previous eye tracking studies used a combination of the following data analysis approaches to investigate eye-gaze data: <a ref-type=disp-formula anchor=deqn1 href=https://ieeexplore.ieee.org/document/#deqn1 class=fulltext-link>(1)</a> start with a hypothesis or a theory and analyze the eye-tracking data to validate it and/or <a ref-type=disp-formula anchor=deqn2 href=https://ieeexplore.ieee.org/document/#deqn2 class=fulltext-link>(2)</a> work entirely based on observation without considering any theories in advance <a ref-type=bibr anchor=ref37 id=context_ref_37_5a data-range=ref37>[37]</a>, <a ref-type=bibr anchor=ref42 id=context_ref_42_5a data-range=ref42>[42]</a>. Our review of previous works shows that fixation-based metrics have been mostly used for the first approach, whereby researchers are interested in calculating effort for specific AOIs. Scanpath-based metrics or saccade-based metrics have been mostly used for the second approach, <i>e.g</i>., for evaluating search and navigation strategies. Yet, some existing studies used both approaches, using different sets of metrics on different eye-movement data <a ref-type=bibr anchor=ref15 id=context_ref_15_5a data-range=ref15>[15]</a>, <a ref-type=bibr anchor=ref17 id=context_ref_17_5a data-range=ref17>[17]</a>, <a ref-type=bibr anchor=ref31 id=context_ref_31_5a data-range=ref31>[31]</a>.<p>Most of the time, defining a set of AOIs is the main step towards analyzing eye-tracking data. Defining an AOI is a subjective task and is based on the researchers' assumptions and experimental goals and conditions. There are no detailed guidelines about defining AOIs <a ref-type=bibr anchor=ref43 id=context_ref_43_5a data-range=ref43>[43]</a>, especially for SE tasks. Also, the majority of previous studies did not provide details about AOI definition and data extraction. Only, Goldberg <i>et al.</i> <a ref-type=bibr anchor=ref43 id=context_ref_43_5a data-range=ref43>[43]</a> proposed a set of general guidelines for defining AOIs. Thus, researchers must be careful when defining AOIs and gather and analyze data, especially if the AOIs overlap or are nested. In addition, we encourage researchers in the SE community to explain their choices of AOIs, data extraction, and data analysis approaches in detail. There is also a need for further studies investigating the impact of the type, the granularity, and the analysis of different AOIs for variety of software artifacts and tasks.
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<div class="figure figure-full table" id=table5><div class=figcaption><b class=title>Table V. </b>Metrics for visual effort based on the pupil size and blink rate.</div><div class=img-wrap><a href=https://ieeexplore.ieee.org/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-table-5-source-large.gif><img class="document-ft-image fadeIn" src="data:image/gif;base64,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" alt="Table V.- Metrics for visual effort based on the pupil size and blink rate." data-lazy=/mediastore_new/IEEE/content/media/7467057/7467261/7467288/7467288-table-5-source-small.gif data-alt="Table V.- Metrics for visual effort based on the pupil size and blink rate."><div class=zoom title="View Larger Image"></div></a></div></div><p></p></div><div class=section_2 id=sec5b><h3>B. Metric Popularity</h3><p>All of the previous studies in SE used fixation-based and scanpath-based metrics. Only a handful of studies used metrics based on saccades because the general consensus in the eye-tracking research community is that cognitive processing and comprehension occur during fixations, while the processing (if any) happening during saccades is very limited. Even for eye-tracking research in usability studies, pupil size and blink rates have been scarcely used because these measures are very sensitive to ambient light level and will be contaminated easily <a ref-type=bibr anchor=ref36 id=context_ref_36_5b data-range=ref36>[36]</a>. Only one study used pupil size and blink rate, for measuring task difficulty <a ref-type=bibr anchor=ref32 id=context_ref_32_5b data-range=ref32>[32]</a>. It used an EEG device, filtering certain frequencies, to measure blink rates more accurately than using eye-trackers. In addition it applied noise removal and cleaning techniques on the data. The results were promising and show that the task difficulty can be classified using pupil size and other psycho-physiological factors.</p></div><div class=section_2 id=sec5c><h3>C. Metric Representativeness</h3><p>We provided a complete list of eye-tracking metrics used in SE research. However, there exists other metrics proposed and used in other domains, such as human-computer interaction (HCI) and usability <a ref-type=bibr anchor=ref5 id=context_ref_5_5c data-range=ref5>[5]</a>, <a ref-type=bibr anchor=ref36 id=context_ref_36_5c data-range=ref36>[36]</a>, <a ref-type=bibr anchor=ref37 id=context_ref_37_5c data-range=ref37>[37]</a>. These metrics have not been used in SE research yet. We analyze these metrics with respect to their adequacy and (possible) uses in SE research.<p>We categorize metrics in HCI and usability studies into two main groups <a ref-type=bibr anchor=ref5 id=context_ref_5_5c data-range=ref5>[5]</a>: <a ref-type=disp-formula anchor=deqn1 href=https://ieeexplore.ieee.org/document/#deqn1 class=fulltext-link>(1)</a> “Measure of processing”, which measures the amount of effort required to process, understand, and analyze a stimulus while performing a task and <a ref-type=disp-formula anchor=deqn2 href=https://ieeexplore.ieee.org/document/#deqn2 class=fulltext-link>(2)</a> “Measure of search”, which measures the amount of effort required to explore and navigate a stimulus when performing a task.<p>Metrics for the measure of processing are fixation-based metrics, including those presented in <a ref-type=sec anchor=sec4a class=fulltext-link>Section IV-A</a>. They are mostly and frequently used in SE eye-tracking studies. They provide a single quantitative value to measure the amount of visual effort independently from the type of material that have been used because, to use these metrics, researchers only need to define the AOIs and their relevancy. Thus, these metrics can be used to assess source code or any models, as shown in <a ref-type=table anchor=table1 class=fulltext-link>Tables I</a> and <a ref-type=table anchor=table2 class=fulltext-link>II</a>. Yet, when reviewing the literature on HCI and usability, we found one metric that has not been used in SE.<p><i>Saccade-Fixation Ratio (SF Ratio</i>) is a metric for processing that is calculated using Equation 9. It indicates the ratio of searching over processing. A higher value indicates more searching compared to processing. It can be used to compare different layouts (<i>e.g</i>., orthogonal vs. three-cluster vs. multicluster layouts for UML class diagrams <a ref-type=bibr anchor=ref14 id=context_ref_14_5c data-range=ref14>[14]</a>) or representations (<i>e.g</i>., graphical vs. textual <a ref-type=bibr anchor=ref17 id=context_ref_17_5c data-range=ref17>[17]</a>).<disp-formula id=deqn9 class=display-formula><tex-math notation=LaTeX><span class=MathJax_Preview style=display:none></span></tex-math></disp-formula><div class=MathJax_Display><span class="MathJax MathJax_FullWidth" id=MathJax-Element-21-Frame tabindex=0><nobr><span class=math id=MathJax-Span-482 style=width:100%;display:inline-block;min-width:26.853em><span style=display:inline-block;position:relative;width:100%;height:0px;font-size:111%;min-width:26.853em><span style=position:absolute;clip:rect(2.389em,1022.7em,5.119em,-1000em);top:-4.004em;left:0em;width:100%><span class=mrow id=MathJax-Span-483><span class=mtable id=MathJax-Span-484 style=min-width:26.853em><span style=display:inline-block;position:relative;width:100%;height:0px;min-width:26.853em><span style=display:inline-block;position:absolute;width:22.697em;height:0px;clip:rect(-1.615em,1022.7em,1.115em,-1000em);top:0em;left:50%;margin-left:-11.349em><span style=position:absolute;clip:rect(2.389em,1022.7em,5.119em,-1000em);top:-4.004em;left:0em><span style=display:inline-block;position:relative;width:22.697em;height:0px><span style=position:absolute;clip:rect(2.389em,1022.7em,5.119em,-1000em);top:-4.004em;left:50%;margin-left:-11.349em><span class=mtd id=MathJax-Span-488><span class=mrow id=MathJax-Span-489><span class=mi id=MathJax-Span-490 style=font-family:MathJax_Math;font-style:italic>S<span style=display:inline-block;overflow:hidden;height:1px;width:0.032em></span></span><span class=mi id=MathJax-Span-491 style=font-family:MathJax_Math;font-style:italic>F<span style=display:inline-block;overflow:hidden;height:1px;width:0.106em></span></span><span class=mi id=MathJax-Span-492 style=font-family:MathJax_Math;font-style:italic>R</span><span class=mi id=MathJax-Span-493 style=font-family:MathJax_Math;font-style:italic>a</span><span class=mi id=MathJax-Span-494 style=font-family:MathJax_Math;font-style:italic>t</span><span class=mi id=MathJax-Span-495 style=font-family:MathJax_Math;font-style:italic>i</span><span class=mi id=MathJax-Span-496 style=font-family:MathJax_Math;font-style:italic>o</span><span class=mo id=MathJax-Span-497 style=font-family:MathJax_Main;padding-left:0.278em>=</span><span class=mfrac id=MathJax-Span-498 style=padding-left:0.278em><span style=display:inline-block;position:relative;width:17.25em;height:0px;margin-right:0.12em;margin-left:0.12em><span style=position:absolute;clip:rect(3.104em,1014.71em,4.404em,-1000em);top:-4.719em;left:50%;margin-left:-7.403em><span class=mrow id=MathJax-Span-499><span class=mtext id=MathJax-Span-500 style=font-family:MathJax_Main>Total Saccade Time</span><span class=mo id=MathJax-Span-501 style=font-family:MathJax_Main>(</span><span class=mtext id=MathJax-Span-502 style=font-family:MathJax_Main>Search Time</span><span class=mo id=MathJax-Span-503 style=font-family:MathJax_Main>)</span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(3.104em,1017.04em,4.404em,-1000em);top:-3.289em;left:50%;margin-left:-8.565em><span class=mrow id=MathJax-Span-504><span class=mtext id=MathJax-Span-505 style=font-family:MathJax_Main>Total Fixations Time</span><span class=mo id=MathJax-Span-506 style=font-family:MathJax_Main>(</span><span class=mtext id=MathJax-Span-507 style=font-family:MathJax_Main>Processing Time</span><span class=mo id=MathJax-Span-508 style=font-family:MathJax_Main>)</span></span><span style=display:inline-block;width:0px;height:4.004em></span></span><span style=position:absolute;clip:rect(0.838em,1017.25em,1.201em,-1000em);top:-1.271em;left:0em><span style="display:inline-block;overflow:hidden;vertical-align:0em;border-top:1.3px solid;width:17.25em;height:0px"></span><span style=display:inline-block;width:0px;height:1.051em></span></span></span></span><span class=texatom id=MathJax-Span-509><span class=mrow id=MathJax-Span-510></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style=display:inline-block;position:absolute;width:1.278em;height:0px;clip:rect(-0.9em,1001.18em,0.4em,-1000em);top:0em;right:0em;margin-right:0em><span style=position:absolute;clip:rect(3.104em,1001.18em,4.404em,-1000em);top:-4.004em;right:0em><span class=mtd id=mjx-eqn-9><span class=mrow id=MathJax-Span-486><span class=mtext id=MathJax-Span-487 style=font-family:MathJax_Main>(9)</span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span></span></span></span><span style=display:inline-block;width:0px;height:4.004em></span></span></span><span style="display:inline-block;overflow:hidden;vertical-align:-1.127em;border-left:0px solid;width:0px;height:2.809em"></span></span></nobr></span></div><span class=formula><span class=link>View Source</span><img class=document-ft-image aria-describedby=qtip-0 style="display:inline;background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-48)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important" title="Right-click on figure or equation for MathML and additional features." data-hasqtip=0 alt="Right-click on figure for MathML and additional features." src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="24" height="20"><rect fill-opacity="0"/></svg>' border=0 height=20 width=24><span class="tex tex2jax_ignore" style=display:none>\begin{equation*}
|
||
SF Ratio = \frac{\text{Total Saccade Time}(\text{Search
|
||
Time})}{\text{Total Fixations Time}(\text{Processing Time})}
|
||
{\tag{9}}
|
||
\end{equation*}</span></span><p><p>Metrics for search include scanpath-based and saccade-based metrics. <a ref-type=sec anchor=sec4b class=fulltext-link>Sections IV-B</a> and <a ref-type=sec anchor=sec4c class=fulltext-link>IV-C</a> present some of these metrics used in SE. There are several other metrics for search in the literature on HCI and usability that have not been used by SE researchers, including:<p><i>Average Saccade Amplitude</i> indicates the angular distance that the eye travels and is computed by summing the distances between consecutive fixations, divided by the number of fixations minus one for the stimulus <a ref-type=bibr anchor=ref5 id=context_ref_5_5c data-range=ref5>[5]</a>. To filter out micro-saccades, a minimum amplitude is used. This metric can be used to compare two layouts <a ref-type=bibr anchor=ref14 id=context_ref_14_5c data-range=ref14>[14]</a> or representations <a ref-type=bibr anchor=ref17 id=context_ref_17_5c data-range=ref17>[17]</a> to determine their efficiency for a task. An efficient layout/representation must arrange elements such that participants' scanning to relevant AOIs is minimal <a ref-type=bibr anchor=ref5 id=context_ref_5_5c data-range=ref5>[5]</a>, <a ref-type=bibr anchor=ref36 id=context_ref_36_5c data-range=ref36>[36]</a>.<p><i>Scanpath Regularity</i> is the ideal situation in which participants follow relevant cues until they reach the desired element. Any deviation from this regular path denotes less efficient search. For SE tasks, a researcher may define a set of relevant AOIs and then consider AOI-based scanpaths instead of ones based on fixations. The most efficient scanpath would be the one that visits all relevant AOIs in a specific order. Irregularity could be measured as either focusing on an irrelevant AOI or following a different path.<p>Metrics such as <i>Average Saccade Amplitude</i> must be used with care because they may not be adequate for SE tasks: they measure the distances between saccades or fixations in numbers of pixels. For SE materials (source code and models), distances between AOIs in numbers of pixels have no meaning because the amplitude is completely dependent on the size of the stimulus and of its elements. For example, two UML class diagrams that differ only by the sizes of the rectangles used to display classes will yield two different values of this metric.</p></div></div>
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<div class=section id=sec6><div class="header article-hdr"><div class=kicker>
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SECTION VI.</div><h2>Threats to the Validity</h2></div><div class=section_2 id=sec6a><h3>A. Previous Eye-Tracking Studies</h3><p>Several threats limit the validity of previous studies regarding effort measurement based on eye-movement data. We now discuss these potential threats and how previous studies tried to mitigate them. Reported eye-tracking studies use eye-movement data to measure visual effort. One threat to these studies is that there may be other factors that influence the amount of effort put forth by participants to complete their tasks, including stress (<i>e.g</i>., due to the Hawthorn effect), fatigue, or time of the day. Previous studies tried to mitigate this threat by performing the studies in quiet laboratories. They also avoided long studies to reduce fatigue and limited interactions between participants and researchers.<p>Like any other human psycho-physiological measure, eye movements may contain gaze data that are unintentional and unconscious. Any distracting events in the environment or in the visual stimulus may impact the eye movements and lead to noise in the collected data and consequently, possibly incorrect interpretations of the data. Previous studies used tasks and stimuli that were not distracting, i.e., without any interactive menus, and performed the experiments in a controlled environment to avoid any distractions.<p>Another major threat to validity of previous eye-tracking studies is that it is hard to compare results across studies, thereby limiting generalization. The main factor contributing to this lack of generalization was the confusing and redundant naming of visual effort metrics used as dependent variables. To mitigate this threat, we conducted the survey described in this paper. We hope that future studies using eye-trackers will take advantage of this one-stop cross reference for visual effort metrics, thereby eventually standardizing the terms and making it easier to compare results across different studies.</p></div><div class=section_2 id=sec6b><h3>B. This Study</h3><p>The main threat to validity of this study is whether or not we covered all visual effort metrics that have been proposed or used in previous eye-tracking studies. To reduce the possibility of missing relevant metrics, we performed a SLR <a ref-type=bibr anchor=ref4 id=context_ref_4_6b data-range=ref4>[4]</a> by following the process and advice given by Kitchenham <a ref-type=bibr anchor=ref44 id=context_ref_44_6b data-range=ref44>[44]</a>. Due to space limitations, we direct the reader to our previous study <a ref-type=bibr anchor=ref4 id=context_ref_4_6b data-range=ref4>[4]</a> for the protocol used in the SLR covering 1990–2014, which drives the comparisons done in this study. In this previous study, we did not compare metrics. The first author extracted data from previous eye-tracking studies to provide interpretation of the metrics. To reduce the likelihood of erroneous results, the three other authors checked and validated the extraction and interpretations.</p></div></div>
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<div class=section id=sec7><div class="header article-hdr"><div class=kicker>
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SECTION VII.</div><h2>Conclusions and Future Studies</h2></div><p>Eye-tracking studies are becoming more prevalent in software engineering. However, a review of the literature <a ref-type=bibr anchor=ref4 id=context_ref_4_7 data-range=ref4>[4]</a> shows that previous eye-tracking studies in software engineering proposed and used a wide variety of eye-tracking metrics to measure and interpret visual effort using eye-movement data. Yet, several of these metrics are identical or similar but carry different names. Conversely, some metrics have similar names but different definitions. We surveyed the software engineering literature and, to the best of our knowledge, studied exhaustively all the ways in which an participant's visual effort has been measured in eye-tracking studies. We then present detailed descriptions of the eye-tracking metrics. We also discuss the interpretations of the values of these metrics with references to the literature. We provide some practical suggestions on using these metrics, and finally introduce a list of metrics that software engineering researchers could refer to for HCI and usability studies. Using these lists of existing and potential metrics as well as other suggestions provided, researchers interested in measuring visual effort while performing software engineering related tasks could <a ref-type=disp-formula anchor=deqn1 href=https://ieeexplore.ieee.org/document/#deqn1 class=fulltext-link>(1)</a> compare and contrast existing metrics and, therefore, choose the most appropriate one for their studies, <a ref-type=disp-formula anchor=deqn2 href=https://ieeexplore.ieee.org/document/#deqn2 class=fulltext-link>(2)</a> borrow “new” metrics from other domains, when appropriate to their studies, and <a ref-type=disp-formula anchor=deqn3 href=https://ieeexplore.ieee.org/document/#deqn3 class=fulltext-link>(3)</a> standardize the presentation of the used metrics and their values to help compare and replicate their studies. Hence, we pursue and contribute to the efforts on “standardizing” the reporting of empirical studies <a ref-type=bibr anchor=ref45 id=context_ref_45_7 data-range=ref45>[45]</a>, <a ref-type=bibr anchor=ref46 id=context_ref_46_7 data-range=ref46>[46]</a>. We also aim at reducing the time new researchers would spend to determine what metrics are suitable for their specific study.<p>A future goal is to move towards a formal standardization procedure for eye-tracking studies in SE. This paper also sets the stage to compare and contrast eye-tracking metrics that will help in future standardization efforts.</p></div>
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<h3>ACKNOWLEDGMENT</h3><p>This study has been partly funded by the Canada Research Chair on Patterns in Mixed-language Systems.</p></div></div>
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sf-hidden"><div _ngcontent-bgi-c171 xplgoogleadmigr class=sf-hidden></div></div></div></xpl-leaderboard-middle-ad></div></div></div><xpl-reference-panel _ngcontent-bgi-c212 _nghost-bgi-c211><section _ngcontent-bgi-c211 id=references-anchor class="document-all-references hide-mobile panel-closed"><div _ngcontent-bgi-c211 class=header><h1 _ngcontent-bgi-c211>References</h1><a _ngcontent-bgi-c211><i _ngcontent-bgi-c211 class="fas fa-times"></i></a></div><div _ngcontent-bgi-c211 id=references-section-container class=document-ft-section-container><div _ngcontent-bgi-c211><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref1-panel><b _ngcontent-bgi-c195>1.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>A. Duchowski, "Eye tracking methodology: Theory and practice" in , Springer-Verlag New York Inc, 2007.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2007&rft.au=A.%20Duchowski&rft.aulast=A.%20Duchowski"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=Eye+tracking+methodology%3A+Theory+and+practice&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref2-panel><b _ngcontent-bgi-c195>2.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>K. Rayner, "Eye movements in reading and information processing: 20 years of research", <em>Psychological bulletin</em>, vol. 124, no. 3, pp. 372, 1998.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1037/0033-2909.124.3.372> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1037/0033-2909.124.3.372&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Eye%20movements%20in%20reading%20and%20information%20processing:%2020%20years%20of%20research&rft.jtitle=Psychological%20bulletin&rft.date=1998&rft.volume=124&rft.issue=3&rft.spage=372&rft.au=K.%20Rayner&rft.aulast=K.%20Rayner"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=Eye+movements+in+reading+and+information+processing%3A+20+years+of+research&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref3-panel><b _ngcontent-bgi-c195>3.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>M. A. Just and P. A. Carpenter, "A theory of reading: from eye fixations to comprehension", <em>Psychological review</em>, vol. 87, no. 4, pp. 329, 1980.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1037/0033-295X.87.4.329> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1037/0033-295X.87.4.329&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=A%20theory%20of%20reading:%20from%20eye%20fixations%20to%20comprehension&rft.jtitle=Psychological%20review&rft.date=1980&rft.volume=87&rft.issue=4&rft.spage=329&rft.au=M.%20A.%20Just&rft.aulast=M.%20A.%20Just"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=A+theory+of+reading%3A+from+eye+fixations+to+comprehension&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref4-panel><b _ngcontent-bgi-c195>4.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>Z. Sharafi, Z. Soh and Y.-G. Guéhéneuc, "A systematic literature review on the usage of eye-tracking in software engineering", <em>Elsevier Journal of Information and Software Technology (IST)</em>, 2015.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1016/j.infsof.2015.06.008> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1016/j.infsof.2015.06.008&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=A%20systematic%20literature%20review%20on%20the%20usage%20of%20eye-tracking%20in%20software%20engineering&rft.jtitle=Elsevier%20Journal%20of%20Information%20and%20Software%20Technology%20(IST)&rft.date=2015&rft.au=Z.%20Sharafi&rft.aulast=Z.%20Sharafi"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=A+systematic+literature+review+on+the+usage+of+eye-tracking+in+software+engineering&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref5-panel><b _ngcontent-bgi-c195>5.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>J. H. Goldberg and X. P. Kotval, "Computer interface evaluation using eye movements: methods and constructs", <em>International Journal of Industrial Ergonomics</em>, vol. 24, no. 6, pp. 631-645, 1999.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1016/S0169-8141(98)00068-7> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1016/S0169-8141(98)00068-7&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Computer%20interface%20evaluation%20using%20eye%20movements:%20methods%20and%20constructs&rft.jtitle=International%20Journal%20of%20Industrial%20Ergonomics&rft.date=1999&rft.volume=24&rft.issue=6&rft.spage=631&rft.epage=645&rft.au=J.%20H.%20Goldberg&rft.aulast=J.%20H.%20Goldberg"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=Computer+interface+evaluation+using+eye+movements%3A+methods+and+constructs&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref6-panel><b _ngcontent-bgi-c195>6.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>B. De Smet, L. Lempereur, Z. Sharafi, Y.-G. Guéhéneuc, G. Antoniol and N. Habra, "Taupe: Visualizing and analyzing eye-tracking data", <em>Science of Computer Programming</em>, vol. 79, pp. 260-278, Jan. 2014.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1016/j.scico.2012.01.004> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1016/j.scico.2012.01.004&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Taupe:%20Visualizing%20and%20analyzing%20eye-tracking%20data&rft.jtitle=Science%20of%20Computer%20Programming&rft.date=2014&rft.volume=79&rft.spage=260&rft.epage=278&rft.au=B.%20De%20Smet&rft.aulast=B.%20De%20Smet"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=Taupe%3A+Visualizing+and+analyzing+eye-tracking+data&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref7-panel><b _ngcontent-bgi-c195>7.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>G. Cepeda and Y.-G. Guéhéneue, "An empirical study on the efficiency of different design pattern representations in uml class diagrams Empirical Software Engineering", vol. 15, no. 5, pp. 493-522, Oct. 2010.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=An%20empirical%20study%20on%20the%20efficiency%20of%20different%20design%20pattern%20representations%20in%20uml%20class%20diagrams%20Empirical%20Software%20Engineering&rft.date=2010&rft.volume=15&rft.issue=5&rft.spage=493&rft.epage=522&rft.au=G.%20Cepeda&rft.aulast=G.%20Cepeda"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=An+empirical+study+on+the+efficiency+of+different+design+pattern+representations+in+uml+class+diagrams+Empirical+Software+Engineering&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref8-panel><b _ngcontent-bgi-c195>8.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>D. Binkley, M. Davis, D. Lawrie, J. I. Maletic, C. Morrell and B. Sharif, "The impact of identifier style on effort and comprehension", <em>Empirical Software Engineering</em>, vol. 18, no. 2, pp. 219-276, Apr. 2013.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1007/s10664-012-9201-4> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1007/s10664-012-9201-4&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=The%20impact%20of%20identifier%20style%20on%20effort%20and%20comprehension&rft.jtitle=Empirical%20Software%20Engineering&rft.date=2013&rft.volume=18&rft.issue=2&rft.spage=219&rft.epage=276&rft.au=D.%20Binkley&rft.aulast=D.%20Binkley"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=The+impact+of+identifier+style+on+effort+and+comprehension&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref9-panel><b _ngcontent-bgi-c195>9.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>B. Sharif, M. Falcone and J. I. Maletic, "An eye-tracking study on the role of scan time in finding source code defects", <em>Proceedings of the Symposium on Eye Tracking Research & Applications</em>, pp. 381-384, 2012.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1145/2168556.2168642> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1145/2168556.2168642&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=An%20eye-tracking%20study%20on%20the%20role%20of%20scan%20time%20in%20finding%20source%20code%20defects&rft.spage=381&rft.epage=384&rft.au=B.%20Sharif&rft.aulast=B.%20Sharif"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=An+eye-tracking+study+on+the+role+of+scan+time+in+finding+source+code+defects&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref10-panel><b _ngcontent-bgi-c195>10.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>R. Petrusel and J. Mendling, "Eye-tracking the factors of process model comprehension tasks", <em>Proceedings of the Conference on the Advanced Information Systems Engineering</em>, pp. 224-239, 2012.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Eye-tracking%20the%20factors%20of%20process%20model%20comprehension%20tasks&rft.spage=224&rft.epage=239&rft.au=R.%20Petrusel&rft.aulast=R.%20Petrusel"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=Eye-tracking+the+factors+of+process+model+comprehension+tasks&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref11-panel><b _ngcontent-bgi-c195>11.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>J. Beatty, "Task-evoked pupillary responses processing load and the structure of processing resources", <em>Psychological bulletin</em>, vol. 91, no. 2, pp. 276, 1982.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1037/0033-2909.91.2.276> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1037/0033-2909.91.2.276&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Task-evoked%20pupillary%20responses,%20processing%20load,%20and%20the%20structure%20of%20processing%20resources&rft.jtitle=Psychological%20bulletin&rft.date=1982&rft.volume=91&rft.issue=2&rft.spage=276&rft.au=J.%20Beatty&rft.aulast=J.%20Beatty"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=Task-evoked+pupillary+responses%2C+processing+load%2C+and+the+structure+of+processing+resources&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref12-panel><b _ngcontent-bgi-c195>12.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>S. Jeanmart, Y.-G. Guéhéneue, H. A. Sahraoui and N. Habra, "Impact of the visitor pattern on program comprehension and maintenance", <em>Proceedings of 3rd International Symposium on Empirical Software Engineering and Measurement</em>, pp. 69-78, 2009.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_self class=stats-reference-link-viewArticle href=https://ieeexplore.ieee.org/document/5316015> View Article </a></span><span _ngcontent-bgi-c195 class="ref-link view-pdf"><xpl-view-pdf _ngcontent-bgi-c195 _nghost-bgi-c141><div _ngcontent-bgi-c141><div _ngcontent-bgi-c141 class="u-flex-display-flex u-flex-align-items-center"><a _ngcontent-bgi-c141 aria-label=PDF tooltipclass=document-toolbar-tooltip class="stats_PDF_5316015 u-flex-display-flex" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5316015"><i _ngcontent-bgi-c141 class="icon-size-md red-pdf fas fa-file-pdf"></i></a></div></div></xpl-view-pdf></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=Impact+of+the+visitor+pattern+on+program+comprehension+and+maintenance&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access-subscribed icon-size-md u-relative" aria-label="Included in Your Digital Subscription"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref13-panel><b _ngcontent-bgi-c195>13.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>S. Yusuf, H. H. Kagdi and J. I. Malefic, "Assessing the comprehension of UML class diagrams via eye tracking", <em>Proceeding of 15th IEEE International Conference on Program Comprehension ser. ICPC '07</em>, pp. 113-122, 2007.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1109/ICPC.2007.10> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1109/ICPC.2007.10&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Assessing%20the%20comprehension%20of%20UML%20class%20diagrams%20via%20eye%20tracking&rft.spage=113&rft.epage=122&rft.au=S.%20Yusuf&rft.aulast=S.%20Yusuf"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=Assessing+the+comprehension+of+UML+class+diagrams+via+eye+tracking&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref14-panel><b _ngcontent-bgi-c195>14.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>B. Sharif and J. I. Maletic, "An eye tracking study on the effects of layout in understanding the role of design patterns", <em>Proceedings of the 26th IEEE International Conference on Software Maintenance</em>, pp. 1-10, 2010.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_self class=stats-reference-link-viewArticle href=https://ieeexplore.ieee.org/document/5609582> View Article </a></span><span _ngcontent-bgi-c195 class="ref-link view-pdf"><xpl-view-pdf _ngcontent-bgi-c195 _nghost-bgi-c141><div _ngcontent-bgi-c141><div _ngcontent-bgi-c141 class="u-flex-display-flex u-flex-align-items-center"><a _ngcontent-bgi-c141 aria-label=PDF tooltipclass=document-toolbar-tooltip class="stats_PDF_5609582 u-flex-display-flex" href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5609582"><i _ngcontent-bgi-c141 class="icon-size-md red-pdf fas fa-file-pdf"></i></a></div></div></xpl-view-pdf></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=An+eye+tracking+study+on+the+effects+of+layout+in+understanding+the+role+of+design+patterns&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access-subscribed icon-size-md u-relative" aria-label="Included in Your Digital Subscription"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref15-panel><b _ngcontent-bgi-c195>15.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>Z. Soh, Z. Sharafi, B. V. den Plas, G. C. Porras, Y.-G. Guéhéneuc and G. Antoniol, "Professional status and expertise for UML class diagram comprehension: An empirical study", pp. 163-172, 2012.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1109/ICPC.2012.6240484> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1109/ICPC.2012.6240484&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Professional%20status%20and%20expertise%20for%20UML%20class%20diagram%20comprehension:%20An%20empirical%20study&rft.spage=163&rft.epage=172&rft.au=Z.%20Soh&rft.aulast=Z.%20Soh"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=Professional+status+and+expertise+for+UML+class+diagram+comprehension%3A+An+empirical+study&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref16-panel><b _ngcontent-bgi-c195>16.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>N. E. Cagiltay, G. Tokdemir, O. Kilic and D. Topalli, "Performing and analyzing non-formal inspections of entity relationship diagram (erd)", <em>Journal of Systems and Software</em>, vol. 86, no. 8, pp. 2184-2195, Aug. 2013.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1016/j.jss.2013.03.106> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1016/j.jss.2013.03.106&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Performing%20and%20analyzing%20non-formal%20inspections%20of%20entity%20relationship%20diagram%20(erd)&rft.jtitle=Journal%20of%20Systems%20and%20Software&rft.date=2013&rft.volume=86&rft.issue=8&rft.spage=2184&rft.epage=2195&rft.au=N.%20E.%20Cagiltay&rft.aulast=N.%20E.%20Cagiltay"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=Performing+and+analyzing+non-formal+inspections+of+entity+relationship+diagram+%28erd%29&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref17-panel><b _ngcontent-bgi-c195>17.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>Z. Sharafi, A. Marchetto, A. Susi, G. Antoniol and Y.-G. Guéhéneuc, "An empirical study on the efficiency of graphical vs. textual representations in requirements comprehension", <em>Proceeding of 21st International Conference on Program Comprehension ser. ICPC '13</em>, pp. 33-42, 2013.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1109/ICPC.2013.6613831> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1109/ICPC.2013.6613831&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=An%20empirical%20study%20on%20the%20efficiency%20of%20graphical%20vs.%20textual%20representations%20in%20requirements%20comprehension&rft.spage=33&rft.epage=42&rft.au=Z.%20Sharafi&rft.aulast=Z.%20Sharafi"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=An+empirical+study+on+the+efficiency+of+graphical+vs.+textual+representations+in+requirements+comprehension&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref18-panel><b _ngcontent-bgi-c195>18.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>M. 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E. Crosby, J. Scholtz and S. 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Busjahn, C. Schulte and A. Busjahn, "Analysis of code reading to gain more insight in program comprehension", <em>Proceedings of the 11th Koli Calling International Conference on Computing Education Research ser. Koli Calling’ 11</em>, pp. 1-9, 2011.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1145/2094131.2094133> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1145/2094131.2094133&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Analysis%20of%20code%20reading%20to%20gain%20more%20insight%20in%20program%20comprehension&rft.spage=1&rft.epage=9&rft.au=T.%20Busjahn&rft.aulast=T.%20Busjahn"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=Analysis+of+code+reading+to+gain+more+insight+in+program+comprehension&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref21-panel><b _ngcontent-bgi-c195>21.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>T. Busjahn, R. Bednarik and C. Schulte, "What influences dwell time during source code reading?: Analysis of element type and frequency as factors", <em>Proceedings of the Symposium on Eye Tracking Research & Applications ser. ETRA '14. New York</em>, pp. 335-338, 2014.</div><div _ngcontent-bgi-c195 class="ref-links-container stats-reference-links-container"><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 class=stats-reference-link-showContext><i _ngcontent-bgi-c195 class=icon-caret-abstract></i><span _ngcontent-bgi-c195>Show in Context</span></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-crossRef href=https://doi.org/10.1145/2578153.2578211> CrossRef <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-openUrl href="https://www.redi-bw.de/links/tib?url_ver=Z39.88-2004&rfr_id=info:sid/IEEE.org:XPLORE&rft_id=info:doi/10.1145/2578153.2578211&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=What%20influences%20dwell%20time%20during%20source%20code%20reading?:%20Analysis%20of%20element%20type%20and%20frequency%20as%20factors&rft.spage=335&rft.epage=338&rft.au=T.%20Busjahn&rft.aulast=T.%20Busjahn"><img _ngcontent-bgi-c195 width=60 height=20 class=openurl-img alt="Linkingservices der TIB, Technische Informationsbibliothek" title="Linkingservices der TIB, Technische Informationsbibliothek" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="90" height="20"><rect fill-opacity="0"/></svg>' style="background-blend-mode:normal!important;background-clip:content-box!important;background-position:50% 50%!important;background-color:rgba(0,0,0,0)!important;background-image:var(--sf-img-54)!important;background-size:100% 100%!important;background-origin:content-box!important;background-repeat:no-repeat!important"></a></span><span _ngcontent-bgi-c195 class=ref-link><a _ngcontent-bgi-c195 target=_blank class=stats-reference-link-googleScholar href="https://scholar.google.com/scholar?as_q=What+influences+dwell+time+during+source+code+reading%3F%3A+Analysis+of+element+type+and+frequency+as+factors&as_occt=title&hl=en&as_sdt=0%2C31"> Google Scholar <i _ngcontent-bgi-c195 class="fas fa-external-link-alt fa-sm"></i></a></span></div></div><div _ngcontent-bgi-c195 class=subid-container><xpl-access-type-icon _ngcontent-bgi-c195 _nghost-bgi-c135><span _ngcontent-bgi-c135 tooltipclass="document-toolbar-tooltip subid-tooltip text-sm-md" role=img class="icon-access- icon-size-md u-relative"></span></xpl-access-type-icon></div></div></div></xpl-reference-item-migr></div><div _ngcontent-bgi-c211 class=reference-container><xpl-reference-item-migr _ngcontent-bgi-c211 displaytype=all source=panel _nghost-bgi-c195><div _ngcontent-bgi-c195><div _ngcontent-bgi-c195 class="d-flex u-overflow-wrap-break-word"><div _ngcontent-bgi-c195 class=number id=ref22-panel><b _ngcontent-bgi-c195>22.</b></div><div _ngcontent-bgi-c195 class="col u-px-1"><div _ngcontent-bgi-c195>T. Busjahn, R. Bednarik, A. Begel, M. Crosby, J. H. Paterson, C. Schulte, et al., "Eye movements in code reading: Relaxing the linear order", <em>Proceedings of 22th International Conference on Program Comprehension ser. 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Kevic, B. M. Walters, T. R. Shaffer, B. Sharif, T. Fritz and D. C. 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