Abstract

MALAN, Katherine M.; ELOFF, Jan H.P.  and  DE BRUIN, Jhani A.. Semi-automated Usability Analysis through Eye Tracking. SACJ [online]. 2018, vol.30, n.1, pp.66-84. ISSN 2313-7835.  http://dx.doi.org/10.18489/sacj.v30i1.511.

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.

Keywords : automated usability testing; eye tracking.

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