This paper is in the following e-collection/theme issue:

Methods in Human Factors Research (44)

Published on in Vol 2, No 1 (2015): Jan-Jun

Using Eye Trackers for Usability Evaluation of Health Information Technology: A Systematic Literature Review

Using Eye Trackers for Usability Evaluation of Health Information Technology: A Systematic Literature Review

Using Eye Trackers for Usability Evaluation of Health Information Technology: A Systematic Literature Review

Authors of this article:

Onur Asan1 Author Orcid Image ;   Yushi Yang2 Author Orcid Image
Article Authors Cited by (43) Tweetations (5) Metrics

Journals

  1. Clarke M, Schuetzler R, Windle J, Pachunka E, Fruhling A. Usability and cognitive load in the design of a personal health record. Health Policy and Technology 2020;9(2):218 View
  2. Lohmeyer Q, Schneider A, Jordi C, Lange J, Meboldt M. Toward a new age of patient centricity? The application of eye-tracking to the development of connected self-injection systems. Expert Opinion on Drug Delivery 2019;16(2):163 View
  3. Thibault M, Porteils C, Goulois S, Lévy A, Lebel D, Bussières J. The Impact of Phone Interruptions on the Quality of Simulated Medication Order Validation Using Eye Tracking. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 2019;14(2):90 View
  4. Damman O, Bogaerts N, van den Haak M, Timmermans D. How lay people understand and make sense of personalized disease risk information. Health Expectations 2017;20(5):973 View
  5. Currie J, Bond R, McCullagh P, Black P, Finlay D, Peace A. Eye Tracking the Visual Attention of Nurses Interpreting Simulated Vital Signs Scenarios: Mining Metrics to Discriminate Between Performance Level. IEEE Transactions on Human-Machine Systems 2018;48(2):113 View
  6. Sun Y, Xie X, Xu Y, Wang C, Kong X. Preliminary study of abnormalities in saccade dynamics in patients with hyperthyroidism with no pre‑existing eye damage. Experimental and Therapeutic Medicine 2020 View
  7. Açık A, Barkana D, Akgün G, Yantaç A, Aydın Ç. Evaluation of a surgical interface for robotic cryoablation task using an eye-tracking system. International Journal of Human-Computer Studies 2016;95:39 View
  8. Khairat S, Coleman C, Ottmar P, Jayachander D, Bice T, Carson S. Association of Electronic Health Record Use With Physician Fatigue and Efficiency. JAMA Network Open 2020;3(6):e207385 View
  9. Dimaguila G, Gray K, Merolli M. Enabling Better Use of Person-Generated Health Data in Stroke Rehabilitation Systems: Systematic Development of Design Heuristics. Journal of Medical Internet Research 2020;22(7):e17132 View
  10. Lippke S, Fleig L, Wiedemann A, Schwarzer R. A Computerized Lifestyle Application to Promote Multiple Health Behaviors at the Workplace: Testing Its Behavioral and Psychological Effects. Journal of Medical Internet Research 2015;17(10):e225 View
  11. King A, Cooper G, Clermont G, Hochheiser H, Hauskrecht M, Sittig D, Visweswaran S. Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study. Journal of Medical Internet Research 2020;22(4):e15876 View
  12. Cho H, Powell D, Pichon A, Kuhns L, Garofalo R, Schnall R. Eye-tracking retrospective think-aloud as a novel approach for a usability evaluation. International Journal of Medical Informatics 2019;129:366 View
  13. Wu C, Cha J, Sulek J, Sundaram C, Wachs J, Proctor R, Yu D. Sensor-based indicators of performance changes between sessions during robotic surgery training. Applied Ergonomics 2021;90:103251 View
  14. Cáceres E, Carrasco M, Ríos S. Evaluation of an eye-pointer interaction device for human-computer interaction. Heliyon 2018;4(3):e00574 View
  15. Currie J, Bond R, McCullagh P, Black P, Finlay D, Gallagher S, Kearney P, Peace A, Stoyanov D, Bicknell C, Leslie S, Gallagher A. Wearable technology-based metrics for predicting operator performance during cardiac catheterisation. International Journal of Computer Assisted Radiology and Surgery 2019;14(4):645 View
  16. Mazur L, Mosaly P, Moore C, Marks L. Association of the Usability of Electronic Health Records With Cognitive Workload and Performance Levels Among Physicians. JAMA Network Open 2019;2(4):e191709 View
  17. Frautschi R, Dawlagala N, Klingemier E, England H, Sinclair N, Zins J. The Use of Eye Tracking Technology in Aesthetic Surgery: Analyzing Changes in Facial Attention Following Surgery. Aesthetic Surgery Journal 2020;40(12):1269 View
  18. Jones E, Chinthammit W, Huang W, Engelke U, Lueg C. Symmetric Evaluation of Multimodal Human–Robot Interaction with Gaze and Standard Control. Symmetry 2018;10(12):680 View
  19. Arthurs B, Mohan V, McGrath K, Scholl G, Gold J. Impact of Passive Laboratory Alerts on Navigating Electronic Health Records in Intensive Care Simulations. Sage Open 2018;8(2) View
  20. Cho H, Yen P, Dowding D, Merrill J, Schnall R. A multi-level usability evaluation of mobile health applications: A case study. Journal of Biomedical Informatics 2018;86:79 View
  21. Lv J, Xu X, Ding N. Research on the Quantitative Method of Cognitive Loading in a Virtual Reality System. Information 2019;10(5):170 View
  22. Wong C, Rana T, Leung Y. Eye Tracking to Evaluate the Usability of an Online Pneumoconiosis Education Booklet in a Sample of South Asian Construction Workers. CIN: Computers, Informatics, Nursing 2020;38(12):638 View
  23. Jiang M, Sun D, Li Q, Wang D. The usability of ventilator maintenance user interface: A comparative evaluation of user task performance, workload, and user experience. Science Progress 2020;103(4) View
  24. Zaki T, Islam M. Neurological and physiological measures to evaluate the usability and user-experience (UX) of information systems: A systematic literature review. Computer Science Review 2021;40:100375 View
  25. Morgan J, Wooldridge A, Composto A, Mitchell A, Ramadhani W, Roychowdhury J, Hanson K, Vazquez-Melendez E, Kendhari H, Shaikh N, Riech T, Mischler M, Krzyzaniak S, Barton G, Formella K, Abbott Z, Farmer J, Ebert-Allen R, Croland T. Evaluating the Efficacy of a Mobile, Augmented Reality Pediatric Code Cart Education Application. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2020;64(1):1028 View
  26. Bañuelos-Lozoya E, González-Serna G, González-Franco N, Fragoso-Diaz O, Castro-Sánchez N. A Systematic Review for Cognitive State-Based QoE/UX Evaluation. Sensors 2021;21(10):3439 View
  27. Ryerson M, Long C, Fichman M, Davidson J, Scudder K, Kim M, Katti R, Poon G, Harris M. Evaluating cyclist biometrics to develop urban transportation safety metrics. Accident Analysis & Prevention 2021;159:106287 View
  28. Visweswaran S, King A, Tajgardoon M, Calzoni L, Clermont G, Hochheiser H, Cooper G. Evaluation of eye tracking for a decision support application. JAMIA Open 2021;4(3) View
  29. Mikhailenko M, Maksimenko N, Kurushkin M. Eye-Tracking in Immersive Virtual Reality for Education: A Review of the Current Progress and Applications. Frontiers in Education 2022;7 View
  30. Pauszek J. An introduction to eye tracking in human factors healthcare research and medical device testing. Human Factors in Healthcare 2023;3:100031 View
  31. Pang Y, Chen S, Cao Y, Huang Z, Xu X, Fang Y, (Chase) Cao C. Self‐Powered Multifunctional Human–Machine Interfaces for Respiratory Monitoring and Smart System Control. Advanced Materials Interfaces 2022;9(22) View
  32. Jarvis T, Mah A, Wang R, Wilson M. Web-Based System Navigation Database to Support Equitable Access to Assistive Technology: Usability Testing Study. JMIR Formative Research 2022;6(11):e36949 View
  33. Pruitt Z, Kazi S, Weir C, Taft T, Busog D, Ratwani R, Hettinger A. A Systematic Review of Quantitative Methods for Evaluating Electronic Medication Administration Record and Bar-Coded Medication Administration Usability. Applied Clinical Informatics 2023;14(01):185 View
  34. Heijsters F, van Loon G, Santema J, Mullender M, Bouman M, de Bruijne M, van Nassau F. A usability evaluation of the perceived user friendliness, accessibility, and inclusiveness of a personalized digital care pathway tool. International Journal of Medical Informatics 2023;175:105070 View
  35. Castilla D, Del Tejo Catalá O, Pons P, Signol F, Rey B, Suso-Ribera C, Perez-Cortes J. Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data. User Modeling and User-Adapted Interaction 2024;34(2):293 View
  36. Maciel R, Marchi B, Silveira H, Rodovanski G, Al-Rob A, Souza R, Costa M, Moran C, Sobieranski A. Computational methodology to support functional vision assessment in premature infants: A viability study. NeuroRehabilitation 2024;54(2):227 View
  37. Teo T, Loh Z, Kee L, Soh G, Wambeck E. Mediational Affordances at a Science Centre Gallery: An Exploratory and Small Study Using Eye Tracking and Interviews. Research in Science Education 2024;54(4):775 View
  38. Shen Y, Wang S, Shen Y, Tan S, Dong Y, Qin W, Zhuang Y. Evaluating the Usability of mHealth Apps: An Evaluation Model Based on Task Analysis Methods and Eye Movement Data. Healthcare 2024;12(13):1310 View
  39. Castner N, Arsiwala-Scheppach L, Mertens S, Krois J, Thaqi E, Kasneci E, Wahl S, Schwendicke F. Expert gaze as a usability indicator of medical AI decision support systems: a preliminary study. npj Digital Medicine 2024;7(1) View
  40. Pei H, Wang Z, Cao J, Chen Y, Bai Z. A cognitive load assessment method for fighter cockpit human-machine interface based on integrated multi-criteria decision making. Applied Soft Computing 2024;167:112287 View
  41. Park Y, ­Kim H, Kim H. Visualizing Empathy in Patient-Practitioner Interactions Using Eye-Tracking Technology: Proof-of-Concept Study. JMIR Formative Research 2024;8:e57884 View