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.

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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
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article

Evolving Health Information–Seeking Behavior in the Context of Google AI Overviews, ChatGPT, and Alexa: Interview Study Using the Think-Aloud Protocol

Eric Wang, Claire Wardle, Shaydanay Urbani
5 citations
Journal of Medical Internet Research
Misinformation and Its Impacts
21.01
article

Evolving Health Information–Seeking Behavior in the Context of Google AI Overviews, ChatGPT, and Alexa: Interview Study Using the Think-Aloud Protocol

Eric Wang, Claire Wardle, Shaydanay Urbani
article en
5 citations

Abstract

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.

Journal of Medical Internet ResearchVol. 27
Cornell University (US), Brown University (US)
Openalex Percentile: Top 1%
Misinformation and Its Impacts
21.01
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Evolving Health Information–Seeking Behavior in the Context of Google AI Overviews, ChatGPT, and Alexa: Interview Study Using the Think-Aloud Protocol — Eric Wang, Claire Wardle, et al. · Journal of Medical Internet Research (2025) | TGRS Research Map | TGRS