This paper is in the following e-collection/theme issue:

Virtual Patients (77) Artificial Intelligence (AI) in Medical Education (182) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (186) Anxiety and Stress Disorders (1327) Depression and Mood Disorders; Suicide Prevention (1688) Technology in Psychiatry/Clinical Psychology Training and Education (38) Chatbots and Conversational Agents (740) Generative Language Models Including ChatGPT (707)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68056, first published .
Leveraging Large Language Models for Simulated Psychotherapy Client Interactions: Development and Usability Study of Client101

Leveraging Large Language Models for Simulated Psychotherapy Client Interactions: Development and Usability Study of Client101

Leveraging Large Language Models for Simulated Psychotherapy Client Interactions: Development and Usability Study of Client101

Authors of this article:

Daniel Cabrera Lozoya1 Author Orcid Image ;   Mike Conway1 Author Orcid Image ;   Edoardo Sebastiano De Duro2 Author Orcid Image ;   Simon D'Alfonso1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Daniel Cabrera Lozoya   1 , MSc ;   Mike Conway   1 , PhD ;   Edoardo Sebastiano De Duro   2 , MSc ;   Simon D'Alfonso   1 , PhD

1 School of Computing and Information Systems, The University of Melbourne, Melbourne, Australia

2 Department of Psychology and Cognitive Science, University of Trento, Trento, Italy

Corresponding Author:

  • Simon D'Alfonso, PhD
  • School of Computing and Information Systems
  • The University of Melbourne
  • Gratham St, Parkville VIC
  • Melbourne 3010
  • Australia
  • Phone: 61 90355511
  • Email: dalfonso@unimelb.edu.au