Abstract
Objective: To report on the use of an eye-tracking retrospective think-aloud for usability evaluation and to describe its application in assessing the usability of a mobile health app. Materials and Methods: We used an eye-tracking retrospective think-aloud to evaluate the usability of an HIV prevention mobile app among 20 young men (15–18 years) in New York City, NY; Birmingham, AL; and Chicago, IL. Task performance metrics, critical errors, a task completion rate per participant, and a task completion rate per task, were measured. Eye-tracking metrics including fixation, saccades, time to first fixation, time spent, and revisits were measured and compared among participants with/without a critical error. Results: Using task performance analysis, we identified 19 critical errors on four activities, and of those, two activities had a task completion rate of less than 78%. To better understand these usability issues, we thoroughly analyzed participants’ corresponding eye movements and verbal comments using an in-depth problem analysis. In areas of interest created for the activity with critical usability problems, there were significant differences in time spent (p = 0.008), revisits (p = 0.004), and total numbers of fixations (p = 0.007) by participants with/without a critical error. The overall mean score of perceived usability rated by the Health IT Usability Evaluation Scale was 4.64 (SD = 0.33), reflecting strong usability of the app. Discussion and Conclusion: An eye-tracking retrospective think-aloud enabled us to identify critical usability problems as well as gain an in-depth understanding of the usability issues related to interactions between end-users and the app. Findings from this study highlight the utility of an eye-tracking retrospective think-aloud in consumer health usability evaluation research.
Original language | English (US) |
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Pages (from-to) | 366-373 |
Number of pages | 8 |
Journal | International Journal of Medical Informatics |
Volume | 129 |
DOIs | |
State | Published - Sep 2019 |
Funding
This research was supported by the National Institute of Minority and Health Disparities of the National Institutes of Health (NIH) under award number U01MD11279 (MPI: RS and RG). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Keywords
- Eye movement measurements
- Eye movements
- Eye-tracking
- Health IT
- Information technology
- Mobile applications
- Mobile health
- Usability evaluation
ASJC Scopus subject areas
- Health Informatics