Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.18489/sacj.v30i1.511 | South Afr. Comput. J. |
DocType | Volume | Issue |
Journal | 30 | 1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Katherine Malan | 1 | 162 | 12.77 |
| Jan H. P. Eloff | 2 | 733 | 117.29 |
| Jhani A. de Bruin | 3 | 0 | 0.34 |