ReviewJMIR human factors2015
Using Eye Trackers for Usability Evaluation of Health Information Technology: A Systematic Literature Review.
Review in JMIR human factors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Systematic Review of Quantitative Methods for Evaluating Electronic Medication Administration Record and Bar-Coded Medication Administration Usability.Applied clinical informatics · 2023Pooled it
- A Systematic Review for Cognitive State-Based QoE/UX Evaluation.Sensors (Basel, Switzerland) · 2021Pooled it
- A Computerized Lifestyle Application to Promote Multiple Health Behaviors at the Workplace: Testing Its Behavioral and Psychological Effects.Journal of medical Internet research · 2015Trial
- Clinicians' Visual Attention During Suicide Screening Encounters: An Exploratory Eye-Tracking Study.medRxiv : the preprint server for health sciences · 2026Article
- Visualizing Empathy in Patient-Practitioner Interactions Using Eye-Tracking Technology: Proof-of-Concept Study.JMIR formative research · 2024Article
- Expert gaze as a usability indicator of medical AI decision support systems: a preliminary study.NPJ digital medicine · 2024Article
- Evaluating the Usability of mHealth Apps: An Evaluation Model Based on Task Analysis Methods and Eye Movement Data.Healthcare (Basel, Switzerland) · 2024Article
- Web-Based System Navigation Database to Support Equitable Access to Assistive Technology: Usability Testing Study.JMIR formative research · 2022Article
- Evaluation of eye tracking for a decision support application.JAMIA open · 2021Article
- Sensor-based indicators of performance changes between sessions during robotic surgery training.Applied ergonomics · 2021Article
- Enabling Better Use of Person-Generated Health Data in Stroke Rehabilitation Systems: Systematic Development of Design Heuristics.Journal of medical Internet research · 2020Article
- Association of Electronic Health Record Use With Physician Fatigue and Efficiency.JAMA network open · 2020Article
- Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study.Journal of medical Internet research · 2020Article
- Preliminary study of abnormalities in saccade dynamics in patients with hyperthyroidism with no pre-existing eye damage.Experimental and therapeutic medicine · 2020Article
- Eye-tracking retrospective think-aloud as a novel approach for a usability evaluation.International journal of medical informatics · 2019Article
- A mixed-methods evaluation framework for electronic health records usability studies.Journal of biomedical informatics · 2019Observational
- Association of the Usability of Electronic Health Records With Cognitive Workload and Performance Levels Among Physicians.JAMA network open · 2019Article
- Wearable technology-based metrics for predicting operator performance during cardiac catheterisation.International journal of computer assisted radiology and surgery · 2019Article
- A multi-level usability evaluation of mobile health applications: A case study.Journal of biomedical informatics · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEye-tracking technology has been used to measure human cognitive processes and has the potential to improve the usability of health information technology (HIT). However, it is still unclear how the eye-tracking method can be integrated with other traditional usability methodologies to achieve its full potential.
objectiveThe objective of this study was to report on HIT evaluation studies that have used eye-tracker technology, and to envision the potential use of eye-tracking technology in future research.
methodsWe used four reference databases to initially identify 5248 related papers, which resulted in only 9 articles that met our inclusion criteria.
resultsEye-tracking technology was useful in finding usability problems in many ways, but is still in its infancy for HIT usability evaluation. Limited types of HITs have been evaluated by eye trackers, and there has been a lack of evaluation research in natural settings.
conclusionsMore research should be done in natural settings to discover the real contextual-based usability problems of clinical and mobile HITs using eye-tracking technology with more standardized methodologies and guidance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.