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.

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