Empowering individuals to adopt artificial intelligence for health information seeking: A latent profile analysis among users in Hong Kong
Jingyuan Shi,
Xiaoyu Xia,
Huijun Zhuang,
Zixi Li and
Kun Xu
Social Science & Medicine, 2025, vol. 375, issue C
Abstract:
Using AI for health information seeking is a novel behavior, and as such, developing effective communication strategies to optimize AI adoption in this area presents challenges. To lay the groundwork, research is needed to map out users' behavioral underpinnings regarding AI use, as understanding users’ needs, concerns and perspectives could inform the design of targeted and effective communication strategies in this context.
Keywords: Health information seeking; Planned risk information seeking model; Comprehensive information seeking model; Audience segmentation; Artificial intelligence (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0277953625003892
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:375:y:2025:i:c:s0277953625003892
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01
DOI: 10.1016/j.socscimed.2025.118059
Access Statistics for this article
Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian
More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().