Conversational Self-Play for Discovering and Understanding Psychotherapy Approaches
Kampman, Onno P, Xing, Michael, Lim, Charmaine, Jabir, Ahmad Ishqi, Louie, Ryan, Lee, Jimmy, Morris, Robert JT
–arXiv.org Artificial Intelligence
Of particular protein folding, and materials science [1], it interest are deviations from standard approaches, has not been widely applied to understanding effective such as the use of novel therapeutic techniques, new therapy. Large language models (LLMs) are ways to sequence therapeutic techniques within a already used for analyzing, assisting, and replacing conversation, applications of techniques in unusual [2, 3, 4, 5] therapeutic conversations, but these contexts, and/or more adaptive approaches based on efforts primarily replicate known therapeutic approaches client characteristics. What follows is a proof-ofconcept (e.g., Cognitive Behavioral Therapy [CBT] study and a discussion on how AI can serve and Motivational Interviewing [MI]) rather than contribute as a discovery engine for psychotherapy research.
arXiv.org Artificial Intelligence
Mar-16-2025
- Country:
- North America > United States (0.28)
- Genre:
- Research Report
- Experimental Study (0.68)
- New Finding (0.68)
- Research Report
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