Published on in Vol 5, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32169, first published .
Benefits of, Barriers to, and Needs for an Artificial Intelligence–Powered Medication Information Voice Chatbot for Older Adults: Interview Study With Geriatrics Experts

Benefits of, Barriers to, and Needs for an Artificial Intelligence–Powered Medication Information Voice Chatbot for Older Adults: Interview Study With Geriatrics Experts

Benefits of, Barriers to, and Needs for an Artificial Intelligence–Powered Medication Information Voice Chatbot for Older Adults: Interview Study With Geriatrics Experts

Journals

  1. Weber P, Mahmood F, Ahmadi M, von Jan V, Ludwig T, Wieching R. Fridolin: participatory design and evaluation of a nutrition chatbot for older adults. i-com 2023;22(1):33 View
  2. Ramadhani C. Chatbots in Pharmacy: A Boon or a Bane for Patient Care and Pharmacy Practice?. Sciences of Pharmacy 2023;2(3):1 View
  3. Wubineh B, Deriba F, Woldeyohannis M. Exploring the opportunities and challenges of implementing artificial intelligence in healthcare: A systematic literature review. Urologic Oncology: Seminars and Original Investigations 2024;42(3):48 View
  4. Xygkou A, Siriaraya P, She W, Covaci A, Ang C. “Can I be More Social with a Chatbot?”: Social Connectedness Through Interactions of Autistic Adults with a Conversational Virtual Human. International Journal of Human–Computer Interaction 2024;40(24):8937 View
  5. Zhu Y, Salowe R, Chow C, Li S, Bastani O, O’Brien J. Advancing Glaucoma Care: Integrating Artificial Intelligence in Diagnosis, Management, and Progression Detection. Bioengineering 2024;11(2):122 View
  6. Jnr. B. User-centered AI-based voice-assistants for safe mobility of older people in urban context. AI & SOCIETY 2025;40(2):545 View
  7. Wu P, Summers C, Panesar A, Kaura A, Zhang L. AI Hesitancy and Acceptability—Perceptions of AI Chatbots for Chronic Health Management and Long COVID Support: Survey Study. JMIR Human Factors 2024;11:e51086 View
  8. Yang Z, Xu X, Yao B, Rogers E, Zhang S, Intille S, Shara N, Gao G, Wang D. Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(2):1 View
  9. Al Mazroui K, Alzyoudi M. The role of ChatGPT in mitigating loneliness among older adults: An exploratory study. Online Journal of Communication and Media Technologies 2024;14(4):e202444 View
  10. Shum N, Lau H. Perils, power and promises: Latent profile analysis on the attitudes towards artificial intelligence (AI) among middle-aged and older adults in Hong Kong. Computers in Human Behavior: Artificial Humans 2024;2(2):100091 View
  11. Tenfelde K, Dijkmans A, Bol N, Kicken M, van der Lee C, de Wit J, Maat B. Patient Perspectives on a Digital Assistant for Medication Reconciliation: An Interview Study Comparing Socioeconomic Groups. Cyberpsychology, Behavior, and Social Networking 2024;27(12):865 View
  12. Peng W, Lee H, Lim S. Leveraging Chatbots to Combat Health Misinformation for Older Adults: Participatory Design Study. JMIR Formative Research 2024;8:e60712 View
  13. Wang A, Zhou Y, Ma H, Tang X, Li S, Pei R, Piao M. Preparing for aging: Understanding middle-aged user acceptance of AI chatbots through the technology acceptance model. DIGITAL HEALTH 2024;10 View
  14. Wolfe B, Oh Y, Choung H, Cui X, Weinzapfel J, Cooper R, Lee H, Lehto R. Caregiving Artificial Intelligence Chatbot for Older Adults and Their Preferences, Well-Being, and Social Connectivity: Mixed-Method Study. Journal of Medical Internet Research 2025;27:e65776 View
  15. Yu S, Chen T. Understanding older adults’ acceptance of Chatbots in healthcare delivery: an extended UTAUT model. Frontiers in Public Health 2024;12 View
  16. Rogers J, Gacki‐Smith J, Yacat R, Wicklund C, Duquette D, Friedewald J, Cooper M, Gilbert A, Agrawal A, Gordon E. Attitudes Toward Use of an APOL1 Genetic Testing Chatbot in Living Kidney Donor Evaluation: A Focus Group Study. Clinical Transplantation 2024;38(12) View
  17. Pickett A, Valdez D, White L, Loganathar P, Linden A, Boutilier J, Caldwell C, Elliott C, Zuraw M, Werner N. The CareVirtue Digital Journal for Family and Friend Caregivers of People Living With Alzheimer Disease and Related Dementias: Exploratory Topic Modeling and User Engagement Study. JMIR Aging 2024;7:e67992 View
  18. Wu C, Chen C, Huang K, Chou Y. Determinants of Chatbot adoption among older adults: An extended TAM approach using PLS-SEM. Information Development 2025 View
  19. Wang Y, Lo C. The effects of response time on older and young adults’ interaction experience with Chatbot. BMC Psychology 2025;13(1) View
  20. Liu Y, Cao X, Chen T, Jiang Y, You J, Wu M, Wang X, Feng M, Jin Y, Chen J. From screens to scenes: A survey of embodied AI in healthcare. Information Fusion 2025;119:103033 View
  21. Enam M, Murmu C, Dixon E. “Artificial Intelligence - Carrying us into the Future”: A Study of Older Adults’ Perceptions of LLM-Based Chatbots. International Journal of Human–Computer Interaction 2025:1 View
  22. Silva R, Gomes L. An adaptive language model-based intelligent medication assistant for the decision support of antidepressant prescriptions. Computers in Biology and Medicine 2025;190:110065 View
  23. Rony M, Deb T, Khatun M, Nesa L, Begum J, Afrin M, Noor M, Akter M, Khatun M, Begum M, Parvin M, Akter F. Attitudes of older patients toward artificial intelligence in decision-making in healthcare. Journal of Medicine, Surgery, and Public Health 2025;6:100193 View

Books/Policy Documents

  1. Rissanen A, Rissanen M. Health Information Science. View
  2. Mukucha P, Jaravaza D, Chingwaru T, Dangaiso P, Risiro J. Integrating Agriculture, Green Marketing Strategies, and Artificial Intelligence. View

Books/Policy Documents

  1. Saiz Manzanares M, Martínez Martín M, Escolar Llamazares M, Ortiz Huerta J, Santamaría Vázquez M, Mercado Val E, Marticorena Sánchez R, Arnáiz González Á, Díez Pastor J, Rodríguez Arribas S. Training and specialisation in early intervention: use of technological resources and artificial intelligence. View
  2. Saiz Manzanares M, Martínez Martín M, Escolar Llamazares M, Ortiz Huerta J, Santamaría Vázquez M, Mercado Val E, Marticorena Sánchez R, Arnáiz González Á, Díez Pastor J, Rodríguez Arribas S. Formación y especialización en atención temprana: uso de recursos tecnológicos y de inteligencia artificial. View

Conference Proceedings

  1. Pednekar S, Dhirawani P, Shah R, Shekokar N, Ghag K. 2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT). Voice-Based Interaction for an Aging Population: A Systematic Review View
  2. Wong N, Jeong S, Reddy M, Stamatis C, Lattie E, Jacobs M. Designing Interactive Systems Conference. Voice Assistants for Mental Health Services: Designing Dialogues with Homebound Older Adults View
  3. Xie Y, Li M, Zeng S, Mo J, Diao Y, Liu G. Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing. FitPal: Reshape Daily Exercise Misconceptions Among Elders through AI Chatbot and Community-based Services View
  4. Karimi P, Martin-Hammond A. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Finding the Right Balance: User Control and Automation in AI Tools for Supporting Older Adults' Health Information Tasks View
  5. Mororo N, Araújo J, Bomfim R, Furtado V. Anais do XXI Simpósio Brasileiro de Sistemas de Informação (SBSI 2025). Providing Task Execution Capabilities in LLM-Based Conversational Assistants View