UCL Department of Psychology and Language Sciences

Patient AI

Enhancing CBT Training Through AI Role-Play

An experimental project developing a language-technology-based virtual patient simulator for mental health students to practice and improve their clinical skills.

Therapy illustration

About the Study

A novel approach to clinical training

This research project investigates the feasibility and acceptability of using AI for virtual patient role-plays to enhance clinical training experiences.

Purpose

Develop a virtual patient role-play simulator for mental health students focused on CBT training, helping to practice and improve clinical competence.

Application

The Patient AI application allows you to type or "voice call" with a virtual patient, simulating therapeutic assessment and intervention scenarios.

Scope

This is a proof-of-concept study that will help design and refine future iterations of the application, aimed at enhancing CBT training experiences.

Benefits

Enhancing clinical training

Patient AI provides several benefits to enhance the learning experience of mental health trainees.

Self-paced Learning

Practice therapeutic techniques through unlimited role-plays at your own convenience, without the pressure of a live supervision session.

Safe Learning Environment

Experiment with different therapeutic approaches in a virtual environment without the risk of negative consequences for real patients.

Skill Development Feedback

Receive experimental feedback on demonstrated therapeutic skills, helping to identify areas of strength and opportunities for growth.

Confidence Building

Build confidence in applying CBT techniques through repeated practice in a variety of simulated clinical scenarios.

Contact

Research Team

For more information about the Patient AI study, please contact the research team.

Researchers

Tianyu Zhang

tianyu.zhang.20 at ucl.ac.uk

Ciaran O'Driscoll (Principal Researcher)

c.odriscoll at ucl.ac.uk

Department

Psychology and Language Sciences
University College London

Ethics Approval

This study has been approved by the UCL Research Ethics Committee
Project ID number: 21883/006