Adopting Artificial Intelligence for Health Information Seeking: A Latent Profile Analysis

Jingyuan SHI*, Xiaoyu XIA, Huijun ZHUANG, Zixi LI

*Corresponding author for this work

Research output: Contribution to conferenceConference paperpeer-review

Abstract

he emergence of AI technology has provided alternative information carriers for users to seek health information, while also posing challenges in communicating potential risks in this aera. Guided by the planned risk information seeking model (PRISM) and the comprehensive model of information seeking (CMIS), we employed a formative evaluation approach to investigate the underlying motivation patterns and corresponding predictors of users adopting AI technology for health information seeking. The results of an online survey (N = 1,051) of users in Hong Kong who had experience with AI technology revealed five heterogenous latent profiles that vary in their sociopsychological characteristics and perceptions of AI technology as an information carrier for seeking health information. Furthermore, across these five profiles, individual differences in demographic attributes and anthropocentrism, in turn, shape the profile membership. Characteristics of each profile and their predictors were illustrated, along with potential focuses of communication strategies for each group.
Original languageEnglish
Publication statusPublished - Jun 2025
Event75th Annual International Communication Association Conference, ICA 2025 - Hyatt Regency Denver, Denver, United States
Duration: 12 Jun 202516 Jun 2025
https://www.icahdq.org/mpage/ICA25 (Conference website)
https://cdn.ymaws.com/www.icahdq.org/resource/resmgr/conference/2025/ICA25_Abstracts_Program.pdf (Conference program)

Conference

Conference75th Annual International Communication Association Conference, ICA 2025
Country/TerritoryUnited States
CityDenver
Period12/06/2516/06/25
Internet address

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