Leveraging Large Language Models for Simulated Psychotherapy Client Interactions: Development and Usability Study of Client101
Abstract BackgroundIn 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 e...
Saved in:
| Main Authors: | Daniel Cabrera Lozoya, Mike Conway, Edoardo Sebastiano De Duro, Simon D'Alfonso |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-07-01
|
| Series: | JMIR Medical Education |
| Online Access: | https://mededu.jmir.org/2025/1/e68056 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ethical Issues in Psychotherapy with Suicidal Clients
by: Ishita Bhattacharya, et al.
Published: (2023-06-01) -
Leveraging Gradient Noise for Detection and Filtering of Byzantine Clients
by: Latifa Errami, et al.
Published: (2025-01-01) -
El ciudadano y el cliente
by: Simón Pachano
Published: (2000-04-01) -
Exploring the Future Social Identity of a PhD Student Dealing With Anxiety: A Psychotherapy Client Study
by: Nicholas Sarantakis
Published: (2022-12-01) -
The satisfaction of clients and caregivers with telehealth speech-language pathology services
by: Reem S. W. Alyahya
Published: (2025-02-01)