User Intent to Use DeepSeek for Health Care Purposes and Their Trust in the Large Language Model: Multinational Survey Study
Users are receptive to DeepSeek when it's easy to use, useful, and trustworthy. The model highlights trust as a mediator and shows non-linear dynamics shaping AI-driven healthcare tool adoption. Expanding the model with mediators like privacy and cultural differences could provide deeper insights. Longitudinal or experimental designs could establish causality and track user attitudes. Further investigation into threshold and plateau phenomena could refine our understanding of user perceptions as they become more familiar with AI-driven healthcare tools.
Authors
- Avishek Choudhury (ORCID: https://orcid.org/0000-0002-5342-0709)
- Hamid Shamszare (ORCID: https://orcid.org/0009-0007-7786-3452)
- Yeganeh Shahsavar (ORCID: https://orcid.org/0000-0003-3422-7257)
Institutions
- West Virginia University (US)
Publication Details
- Journal
- JMIR Human Factors
- Published
- 2025-04-07
- DOI
- https://doi.org/10.2196/72867
- Citations
- 15
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 37.21