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Examining Nonverbal Communication in Dyadic Interactions With Virtual Humans Using an Integrated Coding System: Mixed

Analay Perez1, Rae Sakakibara1, Srikar Baireddy1

  • 1Department of Family Medicine, University of Michigan, 1018 Fuller St, Ann Arbor, MI, 48104, United States, 1 734-998-7124.

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Summary
This summary is machine-generated.

This study introduces a mixed methods approach to analyze nonverbal communication in patient-physician interactions. Integrating quantitative and qualitative coding enhances understanding of nonverbal cues and their impact.

Keywords:
dyaddyadicinteractionjoint displaymixed methods analysisnon-verbalnonverbal behaviorsnonverbal communicationpatient-doctorpatient-physicianpatient-physician dyadqualitativequantitativesecondary analysissimulationvirtual human

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Area of Science:

  • Medical Communication Research
  • Health Professions Education
  • Human-Computer Interaction

Background:

  • Patient-physician communication involves complex verbal and nonverbal elements.
  • Traditional analysis of nonverbal communication in dyads uses separate quantitative or qualitative methods.
  • Limited research integrates quantitative and qualitative coding for nonverbal communication in patient-physician dyads.

Purpose of the Study:

  • To demonstrate a mixed methods approach for analyzing nonverbal communication data.
  • To propose an integrated coding system for patient-physician nonverbal communication.
  • To enhance the understanding of nonverbal communication dynamics in clinical settings.

Main Methods:

  • Secondary analysis of video recordings from 32 patient-physician dyads.
  • Development of a codebook integrating literature review and inductive qualitative approaches.
  • Selection of 2 participants for in-depth mixed methods analysis using a joint display.

Main Results:

  • Increased frequency and duration of nonverbal behaviors (e.g., eyebrow raise, nodding, smiling) observed after repeated interactions.
  • Integration of quantitative (frequency) and qualitative (context) data provided deeper insights into nonverbal communication.
  • Development of person-level meta-inferences from the integrated analysis.

Conclusions:

  • The developed integrated coding system offers a step-by-step method for analyzing dyadic nonverbal communication.
  • This mixed methods approach can advance the analysis of nonverbal communication in patient-physician dyads and related educational contexts.
  • Encourages application and refinement of the integrated coding system across health sciences research.