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Citing this Article

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Published on 14.04.15 in Vol 2, No 1 (2015): Jan-Jun

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/humanfactors.4062):

(note that this is only a small subset of citations)

  1. Clarke MA, Schuetzler RM, Windle JR, Pachunka E, Fruhling A. Usability and cognitive load in the design of a personal health record. Health Policy and Technology 2020;9(2):218
    CrossRef
  2. Khairat S, Coleman C, Ottmar P, Jayachander DI, Bice T, Carson SS. Association of Electronic Health Record Use With Physician Fatigue and Efficiency. JAMA Network Open 2020;3(6):e207385
    CrossRef
  3. Frautschi RS, Dawlagala N, Klingemier EW, England HS, Sinclair NR, Zins JE. The Use of Eye Tracking Technology in Aesthetic Surgery: Analyzing Changes in Facial Attention Following Surgery. Aesthetic Surgery Journal 2020;
    CrossRef
  4. King AJ, Cooper GF, Clermont G, Hochheiser H, Hauskrecht M, Sittig DF, Visweswaran S. Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study. Journal of Medical Internet Research 2020;22(4):e15876
    CrossRef
  5. Dimaguila GL, Gray K, Merolli M. Design Heuristics to Enable Better Use of Person-Generated Health Data in Stroke Rehabilitation Systems: Systematic Development (Preprint). Journal of Medical Internet Research 2019;
    CrossRef
  6. 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
    CrossRef
  7. Cho H, Powell D, Pichon A, Kuhns LM, 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
    CrossRef
  8. Currie J, Bond RR, McCullagh P, Black P, Finlay DD, Gallagher S, Kearney P, Peace A, Stoyanov D, Bicknell CD, Leslie S, Gallagher AG. Wearable technology-based metrics for predicting operator performance during cardiac catheterisation. International Journal of Computer Assisted Radiology and Surgery 2019;14(4):645
    CrossRef
  9. Mazur LM, Mosaly PR, 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
    CrossRef
  10. 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
    CrossRef
  11. Lv J, Xu X, Ding N. Research on the Quantitative Method of Cognitive Loading in a Virtual Reality System. Information 2019;10(5):170
    CrossRef
  12. Currie J, Bond RR, McCullagh P, Black P, Finlay DD, 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
    CrossRef
  13. Cáceres E, Carrasco M, Ríos S. Evaluation of an eye-pointer interaction device for human-computer interaction. Heliyon 2018;4(3):e00574
    CrossRef
  14. 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
    CrossRef
  15. Arthurs BJ, Mohan V, McGrath K, Scholl G, Gold JA. Impact of Passive Laboratory Alerts on Navigating Electronic Health Records in Intensive Care Simulations. SAGE Open 2018;8(2):215824401877438
    CrossRef
  16. Cho H, Yen P, Dowding D, Merrill JA, Schnall R. A multi-level usability evaluation of mobile health applications: A case study. Journal of Biomedical Informatics 2018;86:79
    CrossRef
  17. Damman OC, Bogaerts NMM, van den Haak MJ, Timmermans DRM. How lay people understand and make sense of personalized disease risk information. Health Expectations 2017;20(5):973
    CrossRef
  18. Açık A, Barkana DE, Akgün G, Yantaç AE, Aydın . Evaluation of a surgical interface for robotic cryoablation task using an eye-tracking system. International Journal of Human-Computer Studies 2016;95:39
    CrossRef
  19. Lippke S, Fleig L, Wiedemann AU, 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
    CrossRef