Modeling eye gaze patterns in clinician-patient interaction with lag sequential analysis.

Modeling eye gaze patterns in clinician-patient interaction with lag sequential analysis.
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通过滞后顺序分析,在临床医生相互作用中建模眼睛凝视模式。

DOI:
10.1177/0018720811405986
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发表时间:
2011-10
期刊:
影响因子:
3.3
通讯作者:
Chewning B
Chewning B
中科院分区:
心理学3区
文献类型:
--
作者:
Montague E;Xu J;Chen PY;Asan O;Barrett BP;Chewning B

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The aim of this study was to examine whether lag-sequential analysis could be used to describe eye gaze orientation between clinicians and patients in the medical encounter. This topic is particularly important as new technologies are implemented into multi-user health care settings where trust is critical and nonverbal cues are integral to achieving trust. This analysis method could lead to design guidelines for technologies and more effective assessments of interventions. Nonverbal communication patterns are important aspects of clinician-patient interactions and may impact patient outcomes. Eye gaze behaviors of clinicians and patients in 110-videotaped medical encounters were analyzed using the lag-sequential method to identify significant behavior sequences. Lag-sequential analysis included both event-based lag and time-based lag. Results from event-based lag analysis showed that the patients’ gaze followed that of clinicians, while clinicians did not follow patients. Time-based sequential analysis showed that responses from the patient usually occurred within two seconds after the initial behavior of the clinician. Our data suggest that the clinician’s gaze significantly affects the medical encounter but not the converse. Findings from this research have implications for the design of clinical work systems and modeling interactions. Similar research methods could be used to identify different behavior patterns in clinical settings (physical layout, technology, etc.) to facilitate and evaluate clinical work system designs.
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