AI at everyone’s fingertips? Identifying the predictors of health information seeking intentions using AI
Bibliographic Data
| ID | 21577152 |
|---|---|
| Authors | Elena Link (0000-0001-6861-5288, corresponding author), Selina Beckmann, Selina A Beckmann |
| Year | 2025 |
| Volume | 42 |
| Issue | 1 |
| Pages | 1-11 |
| Publication date | 2025-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Communication Research Reports (JOURNAL) |
| Journal identifiers | ISSN: 0882-4096 • E-ISSN: 1746-4099 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/08824096.2024.2427609 |
| OpenAlex | W4404362718 |
| Language | EN |
| Citations received | 4 |
| References cited | 24 |
The advent of AI tools has the potential to transform how health information is sought, which increases the need for insights into why individuals turn to AI. The study, guided by channel-specific predictors covered by the Planned Risk Information Seeking Model, additionally considers trust and risk perceptions toward AI, and examines the predictors of one’s AI-seeking intention. The results of an online survey (N = 1,121) indicated that attitudes toward seeking, seeking-related norms, and perceived seeking control were significant predictors of individuals’ intention to seek health information from AI. In contrast, trust and risk perceptions were of minor relevance
Health care · Health information · Information retrieval · Information seeking · Political science · AI in Service Interactions · Behavioral Health and Interventions · Computer Science · Death Anxiety and Social Exclusion · Law · Psychology · Social Psychology
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Birds of a feather? How perceived similarity shapes responses to AI versus human health messages
Cross-industry insights into AI chatbot experience
Developing and testing an AI-based risk information-seeking model (Arism)
A Theory of Cognitive Dissonance
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Online Health Information Seeking
Environmental Risk (and Benefit) Information Seeking Intentions
Prism
Our research’s breadth lives on convenience samples A case study of the online respondent pool “SoSci Panel”
Perception of technological risk
What Drives or Inhibits Individuals’ Intention to Seek Information About Medical Innovations? Findings From an Online Survey Among German Residents
On the Motivations to Seek Information From Artificial Intelligence Agents Versus Humans
Understanding user interactions and perceptions of AI risk in Singapore
| Citations per year | 4 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |