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

AI Language Models in Health Care (249) Chatbots and Conversational Agents (788) Artificial Intelligence (2355) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2267) Users' and Patients' Needs for Mental Health Services (529) Depression and Mood Disorders; Suicide Prevention (1759) Transdiagnostic Mental Health Interventions (216) Generative Language Models Including ChatGPT (818) Transcultural Perspectives on Health, Wellness, and Spirituality for Asian/Pacific Islands (4)

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 (18) 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;26(1) View
  10. Özdal Zincir Ö, Çifçi Özkan E, Hatipoğlu Ş. Clinical Accuracy of AI Language Models in Providing Impacted Teeth Information: A Comparative Evaluation. Journal of Craniofacial Surgery 2026;37(3/4):900 View
  11. Cho H, Wang J, Hu D, Zheng K. Large Language Model–Based Chatbots and Agentic AI for Mental Health Counseling: Systematic Review of Methodologies, Evaluation Frameworks, and Ethical Safeguards. JMIR AI 2026;5:e80348 View
  12. Kang B. Resolving the personalization paradox in therapeutic AI: a boundary-aware framework for ethical personalization. AI and Ethics 2026;6(1) View
  13. Yin C, Sun X, Dai A, Ye X, Lu Y, Wang W, Chen Y, Jiang H, Yu J, Chong S, Jiang M, Xu J, Yang B, Chappa R, Chokkakula S, He K. ChatGPT in precision medicine. APL Bioengineering 2026;10(1) View
  14. Villarreal-Zegarra D, Paredes-Gonzales Y, Dámaso-Román A, Quiñones-Inga J, Centeno-Terrazas G, Lozada Y, Atoum I. Development, system design, safety, and performance metrics of a conversational agent for reducing depressive and anxious symptoms based on a large language model: The MHAI study. PLOS One 2026;21(3):e0344939 View
  15. Tulbure B, Spătaru B, Rusu A, Faur D, Precupaș D, Trancă L, Popa Ș, Spătaru A. Breaking Barriers in Student Mental Health Care With AI-Enhanced Group Cognitive Behavioral Therapy: A Pilot Feasibility Study (Preprint). JMIR Formative Research 2025 View

Books/Policy Documents

  1. Khan Z, Yang J, Jawad R, Martinez I, Hoque M, Zhao X, Samuel J. ICT for Intelligent Systems. View

Conference Proceedings

  1. Syakurah R, Hermawan L, Meilinda , Stiawan D, Rizqie M, Triyanto Roesli N. 2025 12th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI). Ethically-Constrained Mental Health Chatbot for University Students: A Context-Aware NLP System using LLMs View
  2. Hashmati N, Skoog T, Obaid M, Eriksson T. Proceedings of the 1st International Conference on Human-Computer Interaction in the Alps. Friend or Therapist? A Systematic Literature Review on Chatbots and Mental Health in Young People View