ArticleInternational journal of medical informatics2019
Eye-tracking retrospective think-aloud as a novel approach for a usability evaluation.
Article in International journal of medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Establishing a usability cut-point for the health information technology usability evaluation scale (Health-ITUES).International journal of medical informatics · 2022Trial
- How Source Attribution Visualization Shapes User Attention and Preference: An Eye-Tracking Study of Four AI Chatbot Layouts.Journal of eye movement research · 2026Article
- Can structure speak for understanding? A dual assessment of systems thinking for sustainability in preservice STEM teachers' concept maps.Frontiers in psychology · 2026Article
- Curating an HIV mHealth App for People Living with HIV in Washington, DC Through Think-Aloud Usability Testing and Beta Testing.AIDS and behavior · 2025Article
- Evaluation of usability and user feedback to guide telepharmacy application development in Indonesia: a mixed-methods study.BMC medical informatics and decision making · 2024Article
- Comparison of evaluation methods for improving the usability of a Spanish mHealth tool.International journal of medical informatics · 2024Article
- Application of eye-tracking in nursing research: A scoping review.Nursing open · 2024Article
- Usability evaluation of mHealth apps for elderly individuals: a scoping review.BMC medical informatics and decision making · 2022Article
- Eye-Tracking-Based Analysis of Situational Awareness of Nurses.Healthcare (Basel, Switzerland) · 2022Article
- Mobile Access to Medical Records in Heart Transplantation Aftercare: Mixed-Methods Study Assessing Usability, Feasibility and Effects of a Mobile Application.Life (Basel, Switzerland) · 2022Article
- Validity and Reliability of the Korean Version of the Health Information Technology Usability Evaluation Scale: Psychometric Evaluation.JMIR medical informatics · 2022Article
- Article
- Using a Web-Based App to Deliver Rehabilitation Strategies to Persons With Chronic Conditions: Development and Usability Study.JMIR rehabilitation and assistive technologies · 2021Article
- Human Factors and Organizational Issues.Yearbook of medical informatics · 2020Review
- A Review of Usability Evaluation Methods and Their Use for Testing eHealth HIV Interventions.Current HIV/AIDS reports · 2020Review
- A Visual Attentive Model for Discovering Patterns in Eye-Tracking Data-A Proposal in Cultural Heritage.Sensors (Basel, Switzerland) · 2020Article
- A Review of Recent HIV Prevention Interventions and Future Considerations for Nursing Science.The Journal of the Association of Nurses in AIDS Care : JANACReview
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveTo 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
methodsWe 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.
resultsUsing 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
conclusionAn 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.
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Registered trials
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