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Artificial intelligence in virtual reality simulation for interprofessional communication training: Mixed method

Sok Ying Liaw¹, Jian Zhi Tan¹, Siriwan Lim¹

¹Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Nurse Education Today

|January 20, 2023

Summary

This summary is machine-generated.

Artificial intelligence (AI)-enabled virtual reality simulations effectively train nursing students in interprofessional communication. This AI-VR approach improved knowledge and confidence, offering a scalable solution for communication skills development.

Keywords:

Artificial intelligence Interprofessional education Nurse-physician communication Serious game Simulation Team training Virtual reality

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Area of Science:

Medical Education
Artificial Intelligence
Virtual Reality

Background:

Virtual reality (VR) simulations enhance nurse-physician communication training but face scalability issues due to unequal cohort sizes.
Integrating artificial intelligence (AI) into VR offers a solution to train more nursing students in interprofessional communication.

Purpose of the Study:

Develop a novel AI-enabled virtual reality simulation (AI-enabled VRS).
Evaluate nursing students' communication competencies and experiences with an AI medical doctor.

Main Methods:

A mixed-methods design with a one-group pretest-posttest and focus groups.
Nursing students participated in a 2-hour AI-enabled VRS, with pre/post-tests for knowledge and self-efficacy.
Surveys and focus groups assessed experiences with the VR environment and AI doctor.

Main Results:

Significant improvements in communication knowledge and interprofessional communication self-efficacy were observed.
Participants found the AI-enabled VRS acceptable, feasible, and usable.
The AI doctor's "human-like" features received the lowest ratings; themes included real-world relevance, AI vs. human intelligence, and complementing face-to-face learning.

Conclusions:

AI-enabled VRS shows potential for improving nursing students' interprofessional communication skills.
Future improvements should focus on AI agent expressiveness and dialogue training for enhanced learning.