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

Chatbots and Conversational Agents (542) Artificial Intelligence (1409) Natural Language Processing (704) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1660) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1552)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51712, first published .
The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study

The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study

The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study

Authors of this article:

Hyojin Chin1 Author Orcid Image ;   Hyeonho Song2 Author Orcid Image ;   Gumhee Baek3 Author Orcid Image ;   Mingi Shin2 Author Orcid Image ;   Chani Jung2 Author Orcid Image ;   Meeyoung Cha1, 2 Author Orcid Image ;   Junghoi Choi4 Author Orcid Image ;   Chiyoung Cha3 Author Orcid Image
Article Authors Cited by (14) Tweetations (8) Metrics

Journals

  1. Chin H, Yong Yi M. Exploring the influence of user characteristics on verbal aggression towards social chatbots. Behaviour & Information Technology 2024:1 View
  2. Kavitha K, Joshith V, Sharma S. Beyond text: ChatGPT as an emotional resilience support tool for Gen Z – A sequential explanatory design exploration. E-Learning and Digital Media 2024 View
  3. Prescott J, Barnes S. Artificial intelligence positive psychology and therapy. Counselling and Psychotherapy Research 2024;24(3):843 View
  4. Villarreal-Zegarra D, Reategui-Rivera C, García-Serna J, Quispe-Callo G, Lázaro-Cruz G, Centeno-Terrazas G, Galvez-Arevalo R, Escobar-Agreda S, Dominguez-Rodriguez A, Finkelstein J. Self-Administered Interventions Based on Natural Language Processing Models for Reducing Depressive and Anxiety Symptoms: Systematic Review and Meta-Analysis. JMIR Mental Health 2024;11:e59560 View
  5. Li H, Zhang R, Yao M. Finding love in algorithms: deciphering the emotional contexts of close encounters with AI chatbots. Journal of Computer-Mediated Communication 2024;29(5) View
  6. Pan S, Mou Y. Constructing the meaning of human–AI romantic relationships from the perspectives of users dating the social chatbot Replika. Personal Relationships 2024 View
  7. Singh S, Gambill J, Attalla M, Fatima R, Gill A, Siddiqui H. Evaluating the Clinical Validity and Reliability of Artificial Intelligence-Enabled Diagnostic Tools in Neuropsychiatric Disorders. Cureus 2024 View
  8. Chin H, Zhunis A, Cha M. Behaviors and Perceptions of Human-Chatbot Interactions Based on Top Active Users of a Commercial Social Chatbot. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 View
  9. Denecke K, Gabarron E. The ethical aspects of integrating sentiment and emotion analysis in chatbots for depression intervention. Frontiers in Psychiatry 2024;15 View
  10. Gong E, Bang C. Revolutionizing gastrointestinal endoscopy: the emerging role of large language models. Clinical Endoscopy 2024;57(6):759 View
  11. Demir S. Evaluation of the reliability and readability of answers given by chatbots to frequently asked questions about endophthalmitis: A cross-sectional study on chatbots. Health Informatics Journal 2024;30(4) View
  12. Naseri A, Antikchi M, Barahman M, Shirinzadeh-Dastgiri A, HaghighiKian S, Vakili-Ojarood M, Rahmani A, Shahbazi A, Shiri A, Masoudi A, Aghasipour M, Aghili K, Neamatzadeh H. AI Chatbots in Oncology: A Comparative Study of Sider Fusion AI and Perplexity AI for Gastric Cancer Patients. Indian Journal of Surgical Oncology 2024 View

Books/Policy Documents

  1. Porna S, Ahmad M, Vallejo R, Shahzadi I, Rahman M. Responsible Implementations of Generative AI for Multidisciplinary Use. View