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Formative Studies and eHealth/mHealth Development (592) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2244) Generative Language Models Including ChatGPT (795) AI Language Models in Health Care (240) Artificial Intelligence (2319) Transdiagnostic Mental Health Interventions (216)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58195, first published .
A Novel Cognitive Behavioral Therapy–Based Generative AI Tool (Socrates 2.0) to Facilitate Socratic Dialogue: Protocol for a Mixed Methods Feasibility Study

A Novel Cognitive Behavioral Therapy–Based Generative AI Tool (Socrates 2.0) to Facilitate Socratic Dialogue: Protocol for a Mixed Methods Feasibility Study

A Novel Cognitive Behavioral Therapy–Based Generative AI Tool (Socrates 2.0) to Facilitate Socratic Dialogue: Protocol for a Mixed Methods Feasibility Study

Authors of this article:

Philip Held1 Author Orcid Image ;   Sarah A Pridgen1 Author Orcid Image ;   Yaozhong Chen1 Author Orcid Image ;   Zuhaib Akhtar1 Author Orcid Image ;   Darpan Amin1 Author Orcid Image ;   Sean Pohorence2 Author Orcid Image
Article Authors Cited by (10) Tweetations Metrics

Journals

  1. Kasereka S, Tshibangu K, Nyembo M, Tshitenge L, Muzindusi M, Ilunga G, Amor S, Bope C, Tashev T, Kyamakya K. Leveraging Artificial Intelligence for Advancements in Mental Disorders: A Short Review. Procedia Computer Science 2025;257:676 View
  2. Held P, Stade E, Dondanville K, Wiltsey Stirman S. Generative artificial intelligence in posttraumatic stress disorder treatment: Exploring five different use cases. Journal of Traumatic Stress 2025;38(5):813 View
  3. Bucher A, Egger S, Vashkite I, Wu W, Schwabe G. “It’s Not Only Attention We Need”: Systematic Review of Large Language Models in Mental Health Care. JMIR Mental Health 2025;12:e78410 View
  4. Kim Y, Choi C, Cho S, Sohn J, Kim B. Aligning large language models for cognitive behavioral therapy: a proof-of-concept study. Frontiers in Psychiatry 2025;16 View
  5. Boit S, Patil R. A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework. JMIR Mental Health 2025;12:e75078 View
  6. Held P, Pridgen S, Szoke D, Chen Y, Akhtar Z, Amin D. AI-Facilitated Cognitive Reappraisal via Socrates 2.0: Mixed Methods Feasibility Study. JMIR Mental Health 2025;12:e80461 View
  7. Voultsiou E, Moussiades L. A Systematic Review of Large Language Models in Mental Health: Opportunities, Challenges, and Future Directions. Electronics 2026;15(3):524 View
  8. Sun D, Zheng Y, Xu J, Yang Z. When Generative AI Meets Socratic Method: Investigating Programming Learning Dynamics Through Behaviours, Interaction Qualities and Perceptions. Journal of Computer Assisted Learning 2026;42(2) View
  9. Shereefdeen H, MacKay M. “It's like dynamite—It can do a lot of good. It could do a lot of harm”: A qualitative study on the uses, benefits, and risks of genAI in public health. DIGITAL HEALTH 2026;12 View

Conference Proceedings

  1. 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