Malan, Katherine M.Eloff, Jan H.P.De Bruin, J.A. (Jhani)2019-03-152019-03-152018-07-10Malan, 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.v30i1.511.1015-7999 (print)2313-7835 (online)10.18489/sacj.v30i1.511http://hdl.handle.net/2263/68682Usability 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© The author(s); published under a Creative Commons NonCommercial 4.0 License (CC BY-NC 4.0).Automated usability testingEye trackingArticle