Semi-automated Usability Analysis through Eye Tracking | Zendy

Katherine M. Malan | Zendy; Jan H. P. Eloff | Zendy; J. A. de Bruin | Zendy

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Semi-automated Usability Analysis through Eye Tracking

Author(s) -

Katherine M. Malan,

Jan H. P. Eloff,

J. A. de Bruin

Publication year - 2018

Publication title -

south african computer journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.227

H-Index - 6

eISSN - 2313-7835

pISSN - 1015-7999

DOI - 10.18489/sacj.v30i1.511

Subject(s) - usability , computer science , eye tracking , cognitive walkthrough , system usability scale , human–computer interaction , usability inspection , component based usability testing , usability lab , usability goals , process (computing) , usability engineering , artificial intelligence , operating system

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.

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