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

Artificial Intelligence (2460) Demographics of Users, Social & Digital Divide (994) eHealth Literacy / Digital Literacy (591) Information Seeking, Information Needs (601) Assessing and Building eHealth / Digital Literacy in Populations (72) Generative Language Models Including ChatGPT (884)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75648, first published .
Close-up of a computer screen displaying ChatGPT interface with capabilities and limitations.

Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study

Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study

Authors of this article:

Jörg Matthes1 Author Orcid Image ;   Anne Reinhardt2 Author Orcid Image ;   Selma Hodzic1 Author Orcid Image ;   Jaroslava Kaňková1 Author Orcid Image ;   Alice Binder1 Author Orcid Image ;   Ljubisa Bojic3, 4 Author Orcid Image ;   Helle Terkildsen Maindal5 Author Orcid Image ;   Corina Paraschiv6 Author Orcid Image ;   Knud Ryom5 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Journals

  1. Uzoagba N, Oladokun B, Dumbiri R, Abdullahi F. How Public Library Users Perceive the Use of Generative AI Models for Information Seeking in Nigeria: A Cross-Sectional Survey. Public Library Quarterly 2026:1 View
  2. Alon L, Levkovich I. Consumer and Patient Health Information Seeking with Generative AI Tools: A Scoping Review of Facilitators and Barriers (Preprint). Journal of Medical Internet Research 2026 View