Jinha Yoon

Using VR Simulation to Understand Non Expert User Trust Calibration in Healthcare AI Systems

Project Summary

As artificial intelligence (AI) diagnostic systems move toward healthcare deployment, a critical gap persists between technical performance and patient acceptability. Existing AI explanation techniques are predominantly designed for experts, leaving laypeople without the conceptual tools to calibrate trust in AI generated medical recommendations. There are two objectives to this research including i) evaluating the effects of explanations and communication cues in aiding non expert user trust calibration, and ii) exploring the potential of immersive virtual reality (VR) technology as an interface as the first point of contact to healthcare for minor medical conditions and maintaining trust between patients and medical professionals.

Research Interests

Virtual Reality

Human-AI Agent Interaction

Human Centred AI

Anthropomorphism

Trust in AI

Background

BSc Psychology at University of Bath

Supervisors

Dr Karin Petrini

Dr Crescent Jicol

Prof Eamonn O’Neill

Jinha Yoon