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

ABSTRACT:

Background

In recent years, large language models (LLMs) have shown a remarkable ability to generate human-like text. One potential application of this capability is using LLMs to simulate clients in a mental health context. This research presents the development and evaluation of Client101, a web conversational platform featuring LLM-driven chatbots designed to simulate mental health clients.

Objective

We aim to develop and test a web-based conversational psychotherapy training tool designed to closely resemble clients with mental health issues.

Methods

We used GPT-4 and prompt engineering techniques to develop chatbots that simulate realistic client conversations. Two chatbots were created based on clinical vignette cases: one representing a person with depression a

SUBMITTER: Cabrera Lozoya D 

PROVIDER: S-EPMC12312989 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature