9th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Eyes on the Clinic: Accelerating Meaningful Interface Analysis through Unobtrusive Eye Tracking

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2015.259276,
        author={Steven Rick and Alan Calvitti and Zia Agha and Nadir Weibel},
        title={Eyes on the Clinic: Accelerating Meaningful Interface Analysis through Unobtrusive Eye Tracking},
        proceedings={9th International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2015},
        month={8},
        keywords={eye-tracking observational research medical office electronic medical records user interface research},
        doi={10.4108/icst.pervasivehealth.2015.259276}
    }
    
  • Steven Rick
    Alan Calvitti
    Zia Agha
    Nadir Weibel
    Year: 2015
    Eyes on the Clinic: Accelerating Meaningful Interface Analysis through Unobtrusive Eye Tracking
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2015.259276
Steven Rick1, Alan Calvitti2, Zia Agha3, Nadir Weibel1,*
  • 1: University of California San Diego
  • 2: VA San Diego Healthcare System
  • 3: West Health Institute, La Jolla
*Contact email: weibel@ucsd.edu

Abstract

Electronic medical records (EMRs) are changing the way physicians work and how medical staff care for patients. While their widespread adoption promise many benefits and computationally powerful features for end users, they may also carry with them other unintended and troubling consequences. As part of a larger ongoing research study, we deployed an unobtrusive eye tracker in outpatient clinics to observe how physicians use their EMRs. We report on our experiences and we derive a methodology for successful eye tracking data collection in the clinic. Our results highlight multiple applications for the quantitative and qualitative assessment of EMR interfaces from eye tracking data collected in situ. We describe one of these applications, the association of eye movements with the specific task that physicians engage with in the EMR, and we discuss both next steps and future application of these results