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

Usability of Apps and User Perceptions of mHealth (1204) Mobile Health (mhealth) (3520) Artificial Intelligence (2204) Quality/Credibility of eHealth Information and Trust Issues (662) Qualitative Methods (137)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64715, first published .
Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study

Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study

Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study

Authors of this article:

Katie Ryan1 Author Orcid Image ;   Justin Hogg1 Author Orcid Image ;   Max Kasun1 Author Orcid Image ;   Jane Paik Kim1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Lāma G, Lastovska A. AI competence and sentiment: a mixed-methods study of attitudes and open-ended reflections. Frontiers in Artificial Intelligence 2025;8 View
  2. Panfil A, Tamasan S, Vasilian C, Horhat R, Lungeanu D. Neuroception of Psychological Safety and Attitude Towards General AI in uHealth Context. Multimodal Technologies and Interaction 2025;10(1):4 View