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

This research underscores both the strengths and limitations of using GPT-4-powered chatbots as tools for psychotherapy training. Participant feedback suggests that the chatbots effectively portray mental health conditions and are generally perceived as valuable training aids. However, differences in specific psycholinguistic features suggest targeted areas for enhancement, helping refine Client101's effectiveness as a tool for training mental health professionals.

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Publication Details

Journal
JMIR Medical Education
Published
2025-05-06
DOI
https://doi.org/10.2196/68056
Citations
5
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
7.72
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article

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

Simon D’Alfonso, Mike Conway, Daniel Cabrera Lozoya, Edoardo Sebastiano De Duro
5 citations
JMIR Medical Education
Digital Mental Health Interventions
7.72
article

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

Simon D’Alfonso, Mike Conway, Daniel Cabrera Lozoya, Edoardo Sebastiano De Duro
article en
5 citations

Abstract

This research underscores both the strengths and limitations of using GPT-4-powered chatbots as tools for psychotherapy training. Participant feedback suggests that the chatbots effectively portray mental health conditions and are generally perceived as valuable training aids. However, differences in specific psycholinguistic features suggest targeted areas for enhancement, helping refine Client101's effectiveness as a tool for training mental health professionals.

JMIR Medical EducationVol. 11
The University of Melbourne (AU), University of Trento (IT)
Openalex Percentile: Top 3%
Digital Mental Health Interventions
7.72
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