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

AI Language Models in Health Care (207) Chatbots and Conversational Agents (746) Artificial Intelligence (2151) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2127) Users' and Patients' Needs for Mental Health Services (505) Depression and Mood Disorders; Suicide Prevention (1699) Transdiagnostic Mental Health Interventions (209) Generative Language Models Including ChatGPT (719) Transcultural Perspectives on Health, Wellness, and Spirituality for Asian/Pacific Islands (3)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63538, first published .
Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users

Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users

Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users

Authors of this article:

Boyoung Kang1 Author Orcid Image ;   Munpyo Hong1 Author Orcid Image
Article Authors Cited by (9) Tweetations (1) Metrics

Journals

  1. Liu Y, Wang F. Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation. Computer Methods and Programs in Biomedicine 2025;268:108864 View
  2. Cui X, Gu Y, Fang H, Zhu T. Development and evaluation of LLM-based suicide intervention chatbot. Frontiers in Psychiatry 2025;16 View
  3. Gangadevi G, Ravisankar S, P V. ZenLoop: An AI-Powered Mental Health Platform. International Journal of Innovative Science and Research Technology 2025:1073 View
  4. Strachna O, Asan O. Current Applications, Research Gaps, and Future Perspectives in Design of Resilient Patient-Facing Generative AI Applications: A Rapid Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2025;69(1):1210 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. Ismailova A, Naubayeva K, Zheldibayeva R, Kontrimienė S. Self-esteem, social comparison, and interpersonal communication competence as predictors of students’ psychological well-being. Frontiers in Education 2025;10 View
  7. Liu Q, Liu S, Si G, Cui K. Which voice aids mental health interactions? Exploring dual-pathway effects of voice anthropomorphism of AI health chatbots on patient anxiety. Industrial Management & Data Systems 2025:1 View
  8. Minaya W, Aramburu F, Santisteban J. AI-DASA: AI-Based Depression, Anxiety, and Stress Assessment. Engineering, Technology & Applied Science Research 2025;15(6):28511 View
  9. Özdal Zincir Ö, Hatipoğlu Ş, Çifçi Özkan E. Large Language model (LLM) in temporomandibular disorder education: a comparative study. BMC Oral Health 2025 View