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

Digital Health Reviews (1801) Registered Report (825) Usability and Technology Use Studies with Elder Subjects (288) Assistive Technologies (160) Aging in Place (400) Usability of Apps and User Perceptions of mHealth (1228) Reviews on Innovation in Rehabilitation and Assistive Technologies (67) Wearables and MHealth Reviews (322)

Published on in Vol 26 (2024)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57258, first published .
Longitudinal Coadaptation of Older Adults With Wearables and Voice-Activated Virtual Assistants: Scoping Review

Longitudinal Coadaptation of Older Adults With Wearables and Voice-Activated Virtual Assistants: Scoping Review

Longitudinal Coadaptation of Older Adults With Wearables and Voice-Activated Virtual Assistants: Scoping Review

Authors of this article:

Kristina Marie Kokorelias1 Author Orcid Image ;   Alisa Grigorovich2, 3 Author Orcid Image ;   Maurita T Harris4 Author Orcid Image ;   Umair Rehman5 Author Orcid Image ;   Louise Ritchie6 Author Orcid Image ;   AnneMarie M Levy7 Author Orcid Image ;   Kerstin Denecke8 Author Orcid Image ;   Josephine McMurray7 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

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  3. Ayyam V, Sudarsanan V. Zero-Touch Care Models: Evaluating Voice-Activated Health Assistants in Geriatric Palliative Care. International Journal of Scientific Research and Modern Technology 2025:1 View
  4. Jang G, Ji S, Baek J, Lee E, Chong S, Jang I. Voice-Based Remote Care Program for Vulnerable Older Adults in a Rural Community: Single-Arm Pilot Clinical Study. JMIR Aging 2025;8:e76653 View
  5. Kang B, Hong D, Park M, Park S, Jeong S, Park Y. Association between voice-activated technology interventions and well-being in older adults living alone: a protocol for a systematic review and meta-analysis. BMJ Open 2025;15(10):e108552 View
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  8. Cai M, Gao K, Luo X, Wu M. Research on the inclusive design of wrist-worn wearable devices for the elderly based on TAM and conjoint analysis. Data Science and Informetrics 2026 View
  9. Li H, Pan W, Chen H, Hou Y. Can We Predict Older Adults’ Long-Term Healthy Behavior Maintenance? Identifying the Optimal Machine Learning Model. International Journal of Human–Computer Interaction 2026:1 View