This paper is in the following e-collection/theme issue:

Users' and Patients' Needs for Mental Health Services (527) Innovations in Mental Health Systems (506) AI-Powered Therapy Bots and Virtual Companions in Digital Mental Health (33) Generative Language Models Including ChatGPT (782) Focus Groups and Qualitative Research for Human Factors Research (1290) eHealth Literacy / Digital Literacy (563)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77951, first published .
Seeking Emotional and Mental Health Support From Generative AI: Mixed-Methods Study of ChatGPT User Experiences

Seeking Emotional and Mental Health Support From Generative AI: Mixed-Methods Study of ChatGPT User Experiences

Seeking Emotional and Mental Health Support From Generative AI: Mixed-Methods Study of ChatGPT User Experiences

Authors of this article:

Xiaochen Luo1 Author Orcid Image ;   Zixuan Wang2 Author Orcid Image ;   Jacqueline L Tilley3 Author Orcid Image ;   Sanjeev Balarajan1 Author Orcid Image ;   Ukeme-Abasi Bassey1 Author Orcid Image ;   Choi Ieng Cheang1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Smith W, Earp B, Buck B. Seven Desiderata for Ethical Frameworks for AI Mental Health Agents. The American Journal of Bioethics 2026;26(2):83 View
  2. Lee J, Yang Z, Shi W, Liu Y. AI chatbots in mental Health: How emojis, prompt type, and interactivity shape user perceptions in the United States and China. Computers in Human Behavior 2026;180:108955 View
  3. Morrin H, Au-Yeung J, Agnew Z, Østergaard S, Pollak T. It’s the journey, not the destination: Moving from endpoints to trajectories when assessing chatbot mental health safety (Preprint). JMIR Mental Health 2026 View