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

AI in Older Adult Care (41) Usability and Technology Use Studies with Elder Subjects (272) Attitudes, Beliefs, and Health Behaviours in Human Factors Research (79) Focus Groups and Qualitative Research for Human Factors Research (1231) Machine Learning (2095)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66778, first published .
Exploring Older Adults’ Perspectives and Acceptance of AI-Driven Health Technologies: Qualitative Study

Exploring Older Adults’ Perspectives and Acceptance of AI-Driven Health Technologies: Qualitative Study

Exploring Older Adults’ Perspectives and Acceptance of AI-Driven Health Technologies: Qualitative Study

Authors of this article:

Arkers Kwan Ching Wong1 Author Orcid Image ;   Jessica Hiu Toon Lee1 Author Orcid Image ;   Yue Zhao2 Author Orcid Image ;   Qi Lu2 Author Orcid Image ;   Shulan Yang3 Author Orcid Image ;   Vivian Chi Ching Hui1 Author Orcid Image
Article Authors Cited by (27) Tweetations (1) Metrics

Journals

  1. Chen J, Maguire T, McCoy R, Thomas S, Reynolds C. Reimagining Resilience in Aging: Leveraging AI/ML, Big Data Analytics, and Systems Innovation. The American Journal of Geriatric Psychiatry 2025;33(9):1005 View
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  3. Feng G, Weng F, Lu W, Xu L, Zhu W, Tan M, Weng P. Artificial Intelligence in Chronic Disease Management for Aging Populations: A Systematic Review of Machine Learning and NLP Applications. International Journal of General Medicine 2025;Volume 18:3105 View
  4. Jeong Y, Shin S, Lee S. How Older Adults with Chronic Conditions Perceive Artificial Intelligence (AI)-Based Virtual Humans: A Q Methodology Approach. Healthcare 2025;13(13):1525 View
  5. VO M, NGUYEN H, NGUYEN D. THE ROLE OF DIGITAL COMPETENCY IN AI-DRIVEN HEALTH MONITORING FOR THE ELDERLY: A QUANTITATIVE STUDY ON SYSTEM EFFECTIVENESS. Journal Health and Technology - JHT 2025;6(1):e4164 View
  6. Shang R, Mi J. An Evolutionary Game Analysis of AI Health Assistant Adoption in Smart Elderly Care. Systems 2025;13(7):610 View
  7. Lee J, Allen J. Bridging the Gap: The Role of AI in Enhancing Psychological Well-Being Among Older Adults. Psychology International 2025;7(3):68 View
  8. Xiao N, Xia B, Buys L, Susilawati C, Larbi M, Chen Q. Comparative Analysis of 16 Aging Concepts and Their Influence on Aging Narratives: Bibliometric and Content Analysis. JMIR Aging 2025;8:e72011 View
  9. Xu L, Fu Q, Wang X. Preferences of Patients With Tuberculosis for AI-Assisted Remote Health Management: Discrete Choice Experiment. Journal of Medical Internet Research 2025;27:e77491 View
  10. Zhang X, Yang L, Bai Y, Zhang L. Postgraduate nursing students’ knowledge, attitudes, and practices regarding artificial intelligence: a qualitative study. BMC Medical Education 2025;25(1) View
  11. Shieh M, Hsiao H, Chang J, Hsiao Y, Jhou Y. An AIoT Product Development Process with Integrated Sustainability and Universal Design. Sustainability 2025;17(19):8874 View
  12. Alon L, Krtalić M. Designing for Older Users: A Theoretical Framework for Information Seeking and Evaluation in AI Systems. Proceedings of the Association for Information Science and Technology 2025;62(1):871 View
  13. Dua B, Kumar Gupta R, Bhargava A, Bhardwaj A, Jain M, Tripathi S. Redefining oral healthcare through artificial intelligence: a review of current applications and a roadmap for the future of dentistry. BMC Artificial Intelligence 2025;1(1) View
  14. Dino M, Leinbach C, Dino G, Thiamwong L, Villafuerte C, Shattell M, Pimentel J, Zamora M, Bautista A, Vitug J, Chepkorir J, Marave N. Smart Speakers for Health and Well-Being of Older Adults: A Mixed-Methods Review. Healthcare 2025;13(21):2772 View
  15. Chuang Y, Chang R, Cheng Y, Huang S, Yu T, Shu K. Generative-AI Based Health Advisory System for Patients with Chronic Diseases. Mobile Networks and Applications 2025 View
  16. Sivakumar I, Arunachalam S, Gadde P, Sharan J. Performance of AI chatbots in responding to geriatric patient questions on denture issues: A mixed method study of accuracy and empathy. The Journal of Prosthetic Dentistry 2025 View
  17. Jiang T, Xu Y. Human-like or machine-like? How anthropomorphic framing shapes older adults’ attitudes toward health AI. Information Processing & Management 2026;63(3):104489 View
  18. Islam M, Hosen A, Rony M, Vanu N, Bhuiyan M, Tasnim A, Tiwari A, Yeasmin S, Manik M, Wesley H. Advancing Public Health Surveillance With Artificial Intelligence: A Systematic Review of Real‐Time Data Analytics and Disease Prediction. Advances in Public Health 2025;2025(1) View
  19. Jeong T, Hwang G, Kim D. A Generative AI Framework for Cognitive Intervention in Older Adults: An Integrated Engineering Design and Clinical Protocol. Healthcare 2025;13(24):3225 View
  20. Berridge C, Ho A, Gaugler J. Why AI governance should be a focal issue for gerontology. The Gerontologist 2025;65(12) View
  21. Yau Y, Shen Y. “Though helpful, still hesitant”: a TAM-based qualitative study on older adults’ ambivalent acceptance and model extensions in AI fitness coaches. Frontiers in Psychology 2025;16 View

Books/Policy Documents

  1. Napoli D, Molyneaux H, Fournier H, Chiasson S. HCI International 2025 Posters. View
  2. Espinoza M. AI, Personalization, Equity, and the Future of Learning. View
  3. Fairhurst M, Kaesling K, Klös V. Explainable Artificial Intelligence. View
  4. Muchiri A, Ndiege J, Haralabopoulos G, Musuva P, Spiesberger P. Digital Humanism. View

Conference Proceedings

  1. Thavornthammarit K, Pechprasarn S. 2025 17th Biomedical Engineering International Conference (BMEiCON). Heart Disease Diagnosis: a Comparative Study of Traditional and Quantum-Based Approaches Using Machine Learning View
  2. Chuang Y, Cheng Y, Yu T, Chang R, Chin H, Deng D. 2025 21th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). Generative-AI Based Health Management System for CKD Patients View