Semi-automated usability analysis through eye tracking

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dc.contributor.author Malan, Katherine M.
dc.contributor.author Eloff, Jan H.P.
dc.contributor.author De Bruin, J.A. (Jhani)
dc.date.accessioned 2019-03-15T09:52:01Z
dc.date.available 2019-03-15T09:52:01Z
dc.date.issued 2018-07-10
dc.description.abstract Usability of software is a crucial aspect of successful applications and could give one application a competitive edge over another. Eye tracking is a popular approach to usability evaluation, but is time consuming and requires expert analysis. This paper proposes a semi-automated process for identifying usability problems in applications with a task-based focus, such as business applications, without the need for expert analysis. The approach is demonstrated on the eye tracking data from a mobile procurement application involving 33 participants. With the recent inclusion of built-in eye tracking hardware in mobile devices, the proposed approach introduces the possibility of conducting remote, large-scale usability studies for improving user experience in mobile applications. en_ZA
dc.description.department Computer Science en_ZA
dc.description.librarian am2019 en_ZA
dc.description.uri http://sacj.cs.uct.ac.za en_ZA
dc.identifier.citation Malan, K.M., Eloff J.H.P and De Bruin, J.A. (2018). Semi-automated Usability Analysis through Eye Tracking. South African Computer Journal 30(1), 66–84. https://DOI.org/10.18489/sacj.v30i1.511. en_ZA
dc.identifier.issn 1015-7999 (print)
dc.identifier.issn 2313-7835 (online)
dc.identifier.other 10.18489/sacj.v30i1.511
dc.identifier.uri http://hdl.handle.net/2263/68682
dc.language.iso en en_ZA
dc.publisher Computer Society of South Africa en_ZA
dc.rights © The author(s); published under a Creative Commons NonCommercial 4.0 License (CC BY-NC 4.0). en_ZA
dc.subject Automated usability testing en_ZA
dc.subject Eye tracking en_ZA
dc.title Semi-automated usability analysis through eye tracking en_ZA
dc.type Article en_ZA


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