Evolving Health Information–Seeking Behavior in the Context of Google AI Overviews, ChatGPT, and Alexa: Interview Study Using the Think-Aloud Protocol
The findings suggest the need for additional research into the ways in which search behavior in the era of AI- and voice-assisted technologies is becoming more dynamic and context-driven. While the sample size is small, participants in this study selectively engaged with AI- and voice-assisted tools based on perceived usefulness, not just trustworthiness, challenging assumptions that credibility is the primary driver of technology adoption. Findings highlight the need for digital health literacy efforts that help users evaluate both the capabilities and limitations of emerging tools. Given the rapid evolution of search technologies, longitudinal studies and real-time observation methods are essential for understanding how AI continues to reshape health information seeking.
Authors
- Eric Wang
- Claire Wardle (ORCID: https://orcid.org/0000-0003-4597-8574)
- Shaydanay Urbani
Institutions
- Cornell University (US)
- Brown University (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-09-17
- DOI
- https://doi.org/10.2196/79961
- Citations
- 5
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 21.01