AI-simulated patients, computational fidelity, and immersive technology in healthcare education
Evaluating conversational AI systems for clinical consultation training, including multimodal agentic platforms and voice-to-voice patient simulation across multiple fidelity dimensions.
Developing conceptual frameworks for understanding and measuring the fidelity of AI-driven simulation experiences — bridging architecture, governance, and educational outcomes.
Virtual reality, augmented reality, and 360° film for healthcare education — from sepsis management to airway training — with validated measurement instruments (ITEM, MITHE).
A validated instrument for appraising user experience of immersive technologies in healthcare education, covering engagement, intrinsic motivation, cognitive load, system usability, and post-experience debriefing. Developed via cognitive interviewing methodology.
A technology-agnostic framework developed through Delphi methodology, providing a structured approach to integrating immersive technologies into clinical education programmes.