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This paper is in the following e-collection/theme issue:

Chatbots and Conversational Agents (1188) Information Retrieval (489) New Methods (1808) Information Seeking, Information Needs (654) Artificial Intelligence (4829) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (95)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79961, first published .
Man holding smartphone and pill bottle, likely researching medication

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

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

Authors of this article:

Claire Wardle1 Author Orcid Image ;   Shaydanay Urbani2 Author Orcid Image ;   Eric Wang2 Author Orcid Image
Article Authors Cited by (23) Tweetations (3) Metrics

Journals

  1. Evenstein Sigalov S, Tsybulsky D. Critical ignoring reimagined: insights from STEM digital curation on Wikimedia platforms. Smart Learning Environments 2026;13(1) View
  2. Park H, Lee S, Lee K. ChatGPT performance in orthodontics. Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie 2026 View
  3. Trillo-Domínguez M, Martin-Neira J, Olvera-Lobo M. Dr. Google vs. Dr. ChatGPT in Online Health Self-Consultation: A Scoping Review of Accuracy, Bias, and Actionability (2023–2025). Informatics 2026;13(3):41 View
  4. Lee J. When Advice Becomes Infrastructure: Ethical Governance of Conversational AI in Psychoactive Substance Information Ecosystems. Psychoactives 2026;5(1):6 View
  5. Michie C, Maheshwari A. Searching, a Rapidly Evolving Skill. Newborn 2026;5(1):1 View
  6. Alon L, Levkovich I. Consumer and Patient Health Information Seeking With Generative AI Tools: Scoping Review of Facilitators and Barriers. Journal of Medical Internet Research 2026;28:e93944 View
  7. Mason A, Ashmore A. Generative-AI as a source of caregiving guidance for medical tourists: A content and readability analysis. Patient Education and Counseling 2026;149:109630 View
  8. Tiao P, Chan H, Huang Y. Navigating Diabetes Management in the Digital Era: Scoping Review of Online Health Information-Seeking Behavior. Journal of Medical Internet Research 2026;28:e82081 View
  9. Ou M, Chen L, Zheng H. Social Media Attention, Risk Perception, and Generative AI-Based Health Information Seeking: A Multigroup Comparison Across Varying Levels of Machine Heuristics. Journal of Broadcasting & Electronic Media 2026:1 View
  10. Anand R, Semple C, Strutt L, Paul S, Hanna J, Li T. Evaluating the quality, reliability and readability of digital and artificial intelligence resources for adults with cancer who have significant caregiving responsibilities for children. PLOS Digital Health 2026;5(7):e0001493 View
  11. Scherenberg V. AI Health Literacy: a reflective framework for LLM-based generative AI in public health education and promotion. Frontiers in Public Health 2026;14 View
  12. Hack S, Tessler I, Saltz D, Hayu D, Henry J, Sanda G, Boldes T, Wolfovitz A, Horn D, Zalzal H, Aaron K. Quality of Tinnitus Information From Generative AI Systems and Web Search: An Expert‑Rated Comparative Study. Otology & Neurotology 2026 View
  13. Jamaluddin J, Chong K, Choong J, Megat Hashim M, Saw S, Abdullah A. Benchmarking large language models for multilingual health information delivery: a mixed-methods data analytics framework applied to vaccine communication in a middle-income setting. International Journal of Data Science and Analytics 2026;22(1) View
  14. Zhou Y, Honary M, Fayoumi A. Design Principles for a Risk-Aware Conversational Agent in Digital Mental Health Information Access: The Case of Cognitive Theatre. Information Systems Frontiers 2026 View
  15. Gao J, Munroe S, Zhang Y, Windett J. Cancer Information Burden Among U.S. Cancer Survivors: Cross-Sectional Study of HINTS 2022-2024 (Preprint). JMIR Cancer 2026 View
  16. Won D, Kim S, Shin H. Guideline-Based Accuracy Scores and Educational Quality of Artificial Intelligence-Based Language Model Responses to Search-Result-Derived Korean Pediatric Dental Trauma Queries: A Two-Time-Point Exploratory Study. THE JOURNAL OF THE KOREAN ACADEMY OF PEDTATRIC DENTISTRY 2026;53(3):320 View
  17. Homs A, Le E, Gélis A, Viel E, Tavares-Figueiredo I, Coudeyre E, Dupeyron A. Quality of French-language online information on low back and radicular pain: A systematic evaluation of noncommercial websites. Patient Education and Counseling 2026;153:109836 View
  18. Nonye Tochi Aghanya , Osinakachi Akuma Kalu . Digital Distrust: Patient-Centred Communication and the Calibration of Epistemic Reliance in the Era of Online Self-Diagnosis and AI Symptom Checkers. Journal of Medical Clinical Case Reports 2026 View

Conference Proceedings

  1. Azzopardi L, Roegiest A. Proceedings of the 2026 Conference on Human Information Interaction and Retrieval. Information Farming View
  2. Ramesh S, Daneshzand F, Rashidi B, Raj S, Subramonyam H, Rajabiyazdi F. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. Metacognitive Demands and Strategies While Using Off-The-Shelf AI Conversational Agents for Health Information Seeking View
  3. Sünkler S, Lewandowski D, Schultheiß S, Koop O. Companion Publication of the 2026 18th ACM Web Science Conference. Information Diversity and Authority Shifts in Google’s AI Overviews: An Audit of Health Queries View
  4. Trikha K, Madrzyk B, Castelino A, Bahrini A. 2026 Systems and Information Engineering Design Symposium (SIEDS). MedAgent: Trustworthy Personalized Consumer Health Search via Multi-Agent Retrieval and Verification View
  5. Allawati S, McKay D, Sanderson M, Thomas P, Trippas J. Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval. An Eye Tracking Study: Are AI Overviews Changing Search Behavior? View