Laypeople’s Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey Study

Search engines are the primary source of health information; yet, positive perceptions of LLMs suggest growing use. Future work could explore whether LLM trust and usefulness are enhanced by supplementing answers with external references and limiting persuasive language to curb overreliance. Collaboration with health organizations can help improve the quality of LLMs' health output.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2024-12-25
DOI
https://doi.org/10.2196/64290
Citations
29
Primary Topic
Health Literacy and Information Accessibility
Type
article
Field-Weighted Citation Impact
24.63
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article

Laypeople’s Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey Study

Oded Nov, David Mann, Tamir Mendel, Nina Singh et al.
29 citations
Journal of Medical Internet Research
Health Literacy and Information Accessibility
24.63
article

Laypeople’s Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey Study

Oded Nov, David Mann, Tamir Mendel, Nina Singh, Batia M. Wiesenfeld
article en
29 citations

Abstract

Search engines are the primary source of health information; yet, positive perceptions of LLMs suggest growing use. Future work could explore whether LLM trust and usefulness are enhanced by supplementing answers with external references and limiting persuasive language to curb overreliance. Collaboration with health organizations can help improve the quality of LLMs' health output.

Journal of Medical Internet ResearchVol. 27
University of California, San Francisco (US), New York University (US)
Quality Education
Openalex Percentile: Top 0%
Health Literacy and Information Accessibility
24.63
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