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

Digital Health Reviews (1580) Chatbots and Conversational Agents (656) Artificial Intelligence (1818) Text-messaging (SMS, WeChat etc)-Based Interventions (703)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46548, first published .
Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review

Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review

Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review

Authors of this article:

Maximilian Wutz1 Author Orcid Image ;   Marius Hermes1 Author Orcid Image ;   Vera Winter1 Author Orcid Image ;   Juliane Köberlein-Neu1 Author Orcid Image
Article Authors Cited by (27) Tweetations (7) Metrics

Journals

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  5. Ng W, Lau N, Lee V, Vijayakumar S, Leong Q, Ooi S, Su L, Lee Y, Chan S, Blasiak A, Ho D. Shaping Adoption and Sustained Use Across the Maternal Journey: Qualitative Study on Perceived Usability and Credibility in Digital Health Tools. JMIR Human Factors 2024;11:e59269 View
  6. Zagulova D, Kolobovnikova J, Pozdnyakova N, Mansharipova A. Acceptance of Mhealth by Patients with Cardiovascular Diseases: the Structural Model of Health Applications Use. The Russian Archives of Internal Medicine 2024;14(4):260 View
  7. Pellemans M, Salmi S, Mérelle S, Janssen W, van der Mei R. Automated Behavioral Coding to Enhance the Effectiveness of Motivational Interviewing in a Chat-Based Suicide Prevention Helpline: Secondary Analysis of a Clinical Trial. Journal of Medical Internet Research 2024;26:e53562 View
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  10. Peng C, Zhang S, Wen F, Liu K. How loneliness leads to the conversational AI usage intention: the roles of anthropomorphic interface, para-social interaction. Current Psychology 2025;44(9):8177 View
  11. Stamate A, Marzan M, Velciu M, Paul C, Spiru L. Advancing user-centric design and technology adoption for aging populations: a multifaceted approach. Frontiers in Public Health 2024;12 View
  12. Ma Y, Liu T, Qi J, Gan Y, Cheng Q, Xiao M, Wang J. Facilitators and Barriers of Large Language Model Adoption Among Nursing Students: A Qualitative Descriptive Study. Journal of Advanced Nursing 2025 View
  13. Kacperski C, Ulloa R, Bonnay D, Kulshrestha J, Selb P, Spitz A, Sim K. Characteristics of ChatGPT users from Germany: Implications for the digital divide from web tracking data. PLOS ONE 2025;20(1):e0309047 View
  14. Lee H, Wright C, Ferranto J, Buttimer J, Palmer C, Welchman A, Mazor K, Fisher K, Smelson D, O’Connor L, Fahey N, Soni A. Artificial intelligence conversational agents in mental health: Patients see potential, but prefer humans in the loop. Frontiers in Psychiatry 2025;15 View
  15. Olowoyo P, Owolabi M. Improving Access to Care of People Living with Neurological Disorders Through Teleneurorehabilitation. NeuroRehabilitation: An International, Interdisciplinary Journal 2025;56(1):3 View
  16. Chang C, Tseng P, Liu C, Ming J, Fan S, Tung C. Development and validation of the Physician’s Health Literacy Competence Scale: A step towards effective doctor–patient communication. Medicine 2025;104(9):e41643 View
  17. Anisha S, Sen A, Ahmad B, Bain C. Exploring Acceptance of Digital Health Technologies for Managing Non-Communicable Diseases Among Older Adults: A Systematic Scoping Review. Journal of Medical Systems 2025;49(1) View
  18. Coelho J, Pécune F, Micoulaud-Franchi J, Bioulac B, Philip P. Promoting mental health in the age of new digital tools: balancing challenges and opportunities of social media, chatbots, and wearables. Frontiers in Digital Health 2025;7 View
  19. Miles O, Pinckard S, Gungor M, Ridge D, Nadarzynski T. Exploring acceptability of AI-enabled voice assistants and digital AI humans in healthcare: a cross-sectional survey. AI & SOCIETY 2025 View
  20. Wu X, Liew K, Dorahy M. Trust, Anxious Attachment, and Conversational AI Adoption Intentions in Digital Counseling: A Preliminary Cross-Sectional Questionnaire Study. JMIR AI 2025;4:e68960 View
  21. Escaned J, Lombardi M, Götberg M, Amabile N, Banning A, Barbato E, Brugaletta S, Chen S, Doshi D, Koo B, Kozuma K, Mahadevan K, Milasinovic D, Sinning J, Toth G, Gonzalo N, Mamas M, Kirtane A. Factors Contributing to Low Utilization of Intracoronary Imaging in Clinical Practice: A White Paper. Journal of the Society for Cardiovascular Angiography & Interventions 2025:103607 View
  22. Ryan K, Hogg J, Kasun M, Kim J. Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study. JMIR mHealth and uHealth 2025;13:e64715 View
  23. Arpaci I, Al-Emran M, Al-Qaysi N, Al-Sharafi M. What Drives the Use of Generative Artificial Intelligence to Promote Educational Sustainability? Evidence from SEM-ANN Approach. TechTrends 2025 View
  24. Liu Y, Ma X, Song C, Huang D, Huang L. Adopting Chatbots for Emotional Support: Empirical Evidence from Hong Kong. International Journal of Human–Computer Interaction 2025:1 View

Books/Policy Documents

  1. Yang M, Guo Y. Human-Computer Interaction. View
  2. Chen Z, Zhao X, Hua M, Xu J. HCI International 2024 – Late Breaking Papers. View

Conference Proceedings

  1. Sugan M, Nadkarni S, Sanaeipoor S, Patel S, Natarajamoorthy S, Rashidi E, Miller A. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Exploring Caregivers' Acceptance of Conversational AI in Pediatric Cancer Caregiving: A Mixed-Methods Study View