Presentation Schedule
Integrating AI and VR for Nurse–Patient Communication Training: A Qualitative Inquiry in Undergraduate Nursing Education (101110)
Tuesday, 24 March 2026 14:30
Session: Poster Session 2
Room: Orion Hall (5F)
Presentation Type: Poster Presentation
Background: Artificial intelligence (AI) and virtual reality (VR) are increasingly recognized as valuable tools in nursing education. This study developed the NLP-AV-NPCS (NLP-based Artificial Intelligence and Virtual Reality Nurse–Patient Communication Simulation system), integrating natural language processing with immersive VR to create a 1:1 virtual ward. The system, delivered via a head-mounted display, allows nursing students to practice communication repeatedly in a low-stress setting. Features include real-time speech and emotion feedback, speech recognition, dynamic facial expression simulation, and learning history playback to enhance authenticity, motivation, and self-reflection.
Objective: To explore nursing students’ experiences and challenges when engaging with NLP-AV-NPCS and to assess its educational applicability.
Methods: A qualitative design was employed with purposive sampling of 52 undergraduate nursing students. Data were collected through semi-structured focus group interviews and reflective journals. Transcripts were analyzed using Braun and Clarke’s six-phase thematic analysis. Credibility was ensured through member checking, investigator triangulation, and peer debriefing.
Results: Three themes emerged: (1) Safe and repeatable practice environment—the system reduced anxiety and enabled error-based learning; (2) Promotion of self-awareness and reflection—real-time feedback encouraged performance evaluation and strategy refinement; and (3) Enhanced authenticity and motivation—immersive interactions fostered engagement and confidence.
Conclusion: NLP-AV-NPCS provided a realistic and supportive environment for communication training, addressing limitations of traditional teaching and enhancing confidence in clinical communication. Findings highlight its potential as a safe, interactive, and authentic educational tool, offering an evidence-based foundation for advancing digital nursing education.
Authors:
Pao-Ju Chen, Asia Eastern University of Science and Technology, Taiwan
About the Presenter(s)
Dr. Pao-Ju Chen graduated from the National Defense Medical Center Institute of Medical Sciences. Her academic interests are the application of Innovation and Technology in nursing education. In recent years, she has been committed to developing vari
See this presentation on the full schedule – Tuesday Schedule





Comments
Powered by WP LinkPress