Accepted for/Published in: JMIR Human Factors
Date Submitted: Jan 31, 2023
Open Peer Review Period: Jan 31, 2023 - Mar 28, 2023
Date Accepted: Aug 2, 2023
(closed for review but you can still tweet)
An Evaluating of Eye Gaze Dynamics During Physician-Patient-Computer Interaction in Federally Qualified Health Centers: A Systematic Analysis
ABSTRACT
Background:
Nonverbal communication between physicians and patients provides indications of engagement to patients/physicians, establishes a good rapport, and increases trust.
Objective:
This study examines eye gaze directions between physicians, patients and computers in naturalistic medical encounters in minority serving clinics to understand the communication patterns given different racial/ethnic backgrounds.
Methods:
The lag sequential analysis method quantitively measures physician-patient-computer interactions to support building and designing health information technologies and facilitate assisting patients’ outcomes. Data came from 77-videotaped medical encounters, that included 11 physicians and 77 patients, from three Federally Qualified Health Center in Chicago, Illinois.
Results:
The results of the lag sequential method showed that three out of six doctor-initiated gaze patterns were followed by patient-response gaze patterns. In addition, four out of six patient-initiated patterns were significantly followed by doctor-response gaze patterns.
Conclusions:
This study examined several physician-patient-computer interaction patterns in minority serving clinics. Unlike the findings in previous studies, doctor-initiated eye gaze behavior patterns were not leading patients eye gaze. This study showed that doctors tended to engage more with patients and shared the computer with them. In addition, patient-initiated eye gaze behavior patterns were significant in certain circumstances, particularly when interacting with physicians.
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Copyright
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