Semi-automated Usability Analysis through Eye Tracking
| Autor: | Katherine Mary Malan, Jan H.P. Eloff, Jhani A. de Bruin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | South African Computer Journal, Vol 30, Iss 1 (2018) |
| Druh dokumentu: | article |
| ISSN: | 1015-7999 2313-7835 |
| DOI: | 10.18489/sacj.v30i1.511 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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