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Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65605, first published .
Evaluating the Quality of Psychotherapy Conversational Agents: Framework Development and Cross-Sectional Study

Evaluating the Quality of Psychotherapy Conversational Agents: Framework Development and Cross-Sectional Study

Evaluating the Quality of Psychotherapy Conversational Agents: Framework Development and Cross-Sectional Study

Authors of this article:

Kunmi Sobowale1 Author Orcid Image ;   Daniel Kevin Humphrey2 Author Orcid Image

Journals

  1. Sobowale K, Humphrey D, Zhao S. Evaluating Generative AI Psychotherapy Chatbots Used by Youth: Cross-Sectional Study. JMIR Mental Health 2025;12:e79838 View
  2. Andrisano Ruggieri R, Ragosta A, Fornaciari T. The uncanny setting: therapeutic chatbots and the dissolution of the symbolic function in the clinical relationship. Psychodynamic Practice 2025:1 View
  3. Gu Y, Wang X. Developing a Service Quality Index System for AI Health Care Chatbots: Mixed Methods Study. Journal of Medical Internet Research 2026;28:e83051 View
  4. Schuchmann V, Trubitsyna O. Artificial intelligence as a means of psycho-emotional regulation under increased cryptocurrency market volatility. Ukrainian Journal of Applied Economics and Technology 2025;2025(4):302 View

Conference Proceedings

  1. Yadav S, Sam A, Jitto J, L J. 2026 9th International Conference on Computational Intelligence in Data Science (ICCIDS). Agentic AI for Therapy View
  2. Islam F, Zhao K, Knijnenburg B, Chen M, Leow A, Muthukanagaraj P, Zhan L, Shi C. 2025 IEEE International Conference on Data Mining Workshops (ICDMW). Pretraining a Generative AI Model on CBT Sessions to Emulate Human Therapist Strategies: A Study Using the APA Psyctherapy Database View