Bringing Artificial Intelligence (AI) into Health Information Seeking Behavior: A Study of AI and Information Seeking Research
This paper explores the impact of artificial intelligence (AI) on information seeking behavior research and practice, including the need to scrutinize existing information seeking theory, challenge the understood behavioral norms, and consider redefining information literacy and information retrieval education. The historical examination spans from the 1950s to the present, with a specific focus on recent developments in health information seeking and the evaluation of medical information sources. Key to this exploration are ongoing debates in healthcare, ethics, and AI and information literacy education, which represent important dimensions of the impact of emerging technology on information-seeking behavior. The insights provided by this research can be useful for both researchers and practitioners, aiding them in navigating the evolving landscape shaped by AI technology.
Authors
- Brady Lund (ORCID: https://orcid.org/0000-0002-4819-8162)
- Nishith Reddy Mannuru (ORCID: https://orcid.org/0000-0002-6423-4899)
- Aashrith Mannuru
- Sravya Uppala
- Malavika katta
- Sesha Sai Leela Madhuri Hota
- Akshaya Pamukuntla
- Sai Madhav Kola
Institutions
- University of North Texas (US)
- The University of Texas at Dallas (US)
Publication Details
- Journal
- Journal of Health Communication
- Published
- 2025-07-14
- DOI
- https://doi.org/10.1080/10810730.2025.2533820
- Citations
- 2
- Primary Topic
- Health Literacy and Information Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 5.63