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

Formative Evaluation of Digital Health Interventions (5326) Mobile Health (mhealth) (5268) Theoretical Frameworks and Concepts (580) Equity and Digital Divide (526) Use and User Demographics of mHealth (512) Mobile Devices and Apps for Seniors and Healthy Aging (417)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/96557, first published .
Elderly Asian couple happily taking a selfie on a smartphone.

Segmenting Older Adults by Their Acceptance of Digital Health Care Devices: Cross-Sectional Study Using the Augmented Technology Acceptance Model and K-Means Clustering

Segmenting Older Adults by Their Acceptance of Digital Health Care Devices: Cross-Sectional Study Using the Augmented Technology Acceptance Model and K-Means Clustering

Authors of this article:

Taeyeon Koo1 Author Orcid Image ;   Ill Hyung Jo2 Author Orcid Image ;   Do Young Pyun3 Author Orcid Image ;   Jinho Yoo4 Author Orcid Image
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Journals

  1. Shin H, Shin M. An AI-Assisted Cognitive Engagement Mobile App for Older Adults: Development and Mixed Methods Usability Study. JMIR Formative Research 2026;10:e103986 View