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Published on in Vol 9, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34514, first published .
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Consumer Perspectives on the Use of Artificial Intelligence Technology and Automation in Crisis Support Services: Mixed Methods Study

Consumer Perspectives on the Use of Artificial Intelligence Technology and Automation in Crisis Support Services: Mixed Methods Study

Journals

  1. Ka Yan L, Chan J. Understanding Baby Boomers’ Psychological Contradiction in Adopting Automatic Technology: An Application of Protection Motivation Theory. Journal of China Tourism Research 2025;21(1):87 View
  2. Frost E, Bosward R, Aquino Y, Braunack-Mayer A, Carter S. Facilitating public involvement in research about healthcare AI: A scoping review of empirical methods. International Journal of Medical Informatics 2024;186:105417 View
  3. Wang B, Asan O, Liao T, Mansouri M. The Future Role of Clinical Artificial Intelligence: View of Chronic Patients. IEEE Transactions on Technology and Society 2024;5(1):71 View
  4. Ooi P, Wilkinson G. Enhancing ethical codes with artificial intelligence governance – a growing necessity for the adoption of generative AI in counselling. British Journal of Guidance & Counselling 2025;53(1):66 View
  5. Milasan L, Scott‐Purdy D. The Future of Artificial Intelligence in Mental Health Nursing Practice: An Integrative Review. International Journal of Mental Health Nursing 2025;34(1) View
  6. Xie Y, Avila S. The social impact of generative LLM-based AI. Chinese Journal of Sociology 2025;11(1):31 View
  7. Anastasiadou O, Tsipouras M, Mpogiatzidis P, Angelidis P. Digital Healthcare Innovative Services in Times of Crisis: A Literature Review. Healthcare 2025;13(8):889 View
  8. Fritz B, Eppelmann L, Edelmann A, Rohrmann S, Wessa M. How mental health status and attitudes toward mental health shape AI Acceptance in psychosocial care: a cross-sectional analysis. BMC Psychology 2025;13(1) View
  9. Mazzer K, Curll S, Barzinjy H, Goecke R, Larsen M, Batterham P, Titov N, Rickwood D. Changes in Mental State for Help-Seekers of Lifeline Australia’s Online Chat Service: Lexical Analysis Approach. JMIR Formative Research 2025;9:e63257 View
  10. Ran Y, Feng Y. How the application of Artificial Intelligence (AI) affects Chinese art design professionals’ career exploration behavior: the roles of job insecurity, psychological distress, and proactive personality. BMC Psychology 2026;14(1) View
  11. Rebge S, Nevzat R. Between Passion and Prediction: AI, Identity, and Fan Engagement Among Generation Z Football Supporters. Sport Marketing Quarterly 2026;35(3):247 View
  12. Tsai J, Witte L, DeRussy A, Burden A, Montgomery A. Identifying Staff Behaviors and Client Outcomes of High-Performing Staff at a National Homeless Hotline for Veterans. The Journal of Behavioral Health Services & Research 2026;53(4):607 View
  13. Turska-Czyż D, Pilarski B, Pudlo R. The use of artificial intelligence in suicide prevention: opportunities, limitations, and clinical implications – A narrative review. Annales Academiae Medicae Silesiensis 2026 View
  14. Crawford A, Earle M, Castillo G, Nandlall N, Hilton M. Exploring Applications of AI in the Crisis Line Sector: Protocol for a Scoping Review. JMIR Research Protocols 2026;15:e95087 View
  15. Nawaz S, Nawaz L, Ali H, Yaqoob M, Saeed M. Artificial intelligence in mental health: A narrative review of applications, benefits, and ethical challenges. Digital Medicine 2026;12(3):e26-00028 View
  16. Vaghela G, Huy N, White J, Onie S, Vijayakumar L, Woodward A, Gould M. Transforming suicide helpline services into resilient global health infrastructure. The Lancet Psychiatry 2026 View

Books/Policy Documents

  1. Wu M. Artificial Intelligence in Public Health. View
  2. Rianisa A, Sekti B. Bias, Privacy, and the Ethics of AI in Education. View