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Updated: Aug 7, 2026

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Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
Published on: December 23, 2025
Learning Motivational Interviewing in VR: A Feasibility Study Using Self-Reported Measures
Daan J Verhoeven1, Floris T J Ferenschild1, Bas Henk Verhoeven1
1Department of Surgery, Radboud University Medical Center, Nijmegen, The Netherlands.
Journal of Medical Extended Reality
|August 6, 2026
Summary
Virtual reality (VR) training for motivational interviewing (MI) is a feasible and acceptable method for medical students to practice addressing lifestyle health issues. However, speech recognition limitations impact conversational flow and perceived professional development value.
Area of Science:
- Medical Education
- Health Professions Training
- Virtual Reality Applications
Background:
- Motivational interviewing (MI) skills are crucial for healthcare professionals addressing lifestyle-related health issues.
- Traditional simulation training for MI is resource-intensive and costly.
- Immersive virtual reality (VR) presents a potential cost-effective alternative for MI training.
Purpose of the Study:
- To develop and evaluate the feasibility of a VR-based MI training program for medical students.
- To assess usability, learning motivation, VR immersion, and proficiency in MI skills.
- To identify potential drawbacks and perceived value of VR MI training.
Main Methods:
- Developed a VR MI training program with virtual patients and common lifestyle issues (osteoarthritis, weight loss, smoking cessation).
- Fourth-year medical students completed two modules (basic techniques, communication processes) twice within one week using Oculus Quest headsets.
- Assessed usability, motivation, immersion, and MI proficiency via validated and customized questionnaires.
Main Results:
- The VR MI training was feasible and acceptable for unsupervised student use, with high user-friendliness reported.
- Participants experienced high VR immersion (90%) and some empathy (40%) with virtual patients.
- Key drawbacks included speech recognition issues affecting conversational flow; only half found added professional value.
Conclusions:
- VR-based MI training is a feasible and acceptable tool for unsupervised medical student learning.
- While increasing self-confidence, limitations in natural conversation affect perceived skill acquisition and professional development value.
- Further research is needed to address conversational limitations and enhance the perceived value for professional growth.

