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

Voice Assistants (51) Quality/Credibility of eHealth Information and Trust Issues (654) Information Quality in Digital Media (407) Information Seeking, Information Needs (561) Chronic Conditions (434) Information Demand (47) Information Retrieval (348) Infodemiology and Infoveillance (1558)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32161, first published .
Reliability of Commercial Voice Assistants’ Responses to Health-Related Questions in Noncommunicable Disease Management: Factorial Experiment Assessing Response Rate and Source of Information

Reliability of Commercial Voice Assistants’ Responses to Health-Related Questions in Noncommunicable Disease Management: Factorial Experiment Assessing Response Rate and Source of Information

Reliability of Commercial Voice Assistants’ Responses to Health-Related Questions in Noncommunicable Disease Management: Factorial Experiment Assessing Response Rate and Source of Information

Authors of this article:

Caterina Bérubé1 Author Orcid Image ;   Zsolt Ferenc Kovacs1 Author Orcid Image ;   Elgar Fleisch1, 2, 3 Author Orcid Image ;   Tobias Kowatsch1, 2, 3 Author Orcid Image
Article Authors Cited by (10) Tweetations (12) Metrics

Journals

  1. Kocaballi A, Sezgin E, Clark L, Carroll J, Huang Y, Huh-Yoo J, Kim J, Kocielnik R, Lee Y, Mamykina L, Mitchell E, Moore R, Murali P, Mynatt E, Park S, Pasta A, Richards D, Silva L, Smriti D, Spillane B, Zhang Z, Zubatiy T. Design and Evaluation Challenges of Conversational Agents in Health Care and Well-being: Selective Review Study. Journal of Medical Internet Research 2022;24(11):e38525 View
  2. Passanante A, Pertwee E, Lin L, Lee K, Wu J, Larson H. Conversational AI and Vaccine Communication: Systematic Review of the Evidence. Journal of Medical Internet Research 2023;25:e42758 View
  3. Saripalle R, Patel R. From Command to Care: A Scoping Review on Utilization of Smart Speakers by Patients and Providers. Mayo Clinic Proceedings: Digital Health 2024;2(2):207 View
  4. 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
  5. Bramanti A, Corallo A, Clemente G, Greco L, Garofano M, Giordano M, Pascarelli C, Mitrano G, Di Palo M, Di Spirito F, Amato M, Bartolomeo M, Del Sorbo R, Ciccarelli M, Bramanti P, Ritrovato P. Exploring the Role of Voice Assistants in Managing Noncommunicable Diseases: A Systematic Review on Clinical, Behavioral Outcomes, Quality of Life, and User Experiences. Healthcare 2025;13(5):517 View
  6. Pasa I, Andrianto D. Strategic Innovation Roadmapping in the Age of AI: A Framework for Competitive Advantage. Novatio : Journal of Management Technology and Innovation 2025;3(1):53 View
  7. Chan S, Li J, Yao B, Mahmood A, Huang C, Jimison H, Mynatt E, Wang D. "Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner. Proceedings of the ACM on Human-Computer Interaction 2025;9(7):1 View
  8. Vinay R, Uetova E, Tommila N, Biller-Andorno N, Kowatsch T. GRACE, A Hybrid Rule- and LLM-based Embodied Voice Assistant for Cognitive Stimulation in Older Adults: A Pilot Study Assessing Technical Feasibility, Technology Acceptance, and Working Alliance (Preprint). JMIR Aging 2025 View

Books/Policy Documents

  1. Bérubé C, Fleisch E. Digital Therapeutics for Mental Health and Addiction. View
  2. Pastukh V, Beshley M, Klymash M, Beshley H, Luntovskyy A, Scherm I. Digital Ecosystems: Interconnecting Advanced Networks with AI Applications. View