Authors: T Mendel, N Singh, DM Mann, B Wiesenfeld
Year: 2025
Published in: Journal of medical ..., 2025 - jmir.org
Institution: The City University of New York, George Washington University, New York University
Research Area: LLMs in Digital Health, Health Queries, User Attitudes
Discipline: Digital Health
Laypeople primarily use search engines over large language models (LLMs) for health queries, perceiving LLMs as less useful but less biased and more human-like while exhibiting no significant difference in trust or ease of use.
Methods: A screening survey followed by logistic regression analysis and a follow-up survey; comparisons were performed using ANOVA, Tukey post hoc tests, and paired-sample Wilcoxon tests.
Key Findings: Demographics and behaviors of LLM and search engine users for health queries, perceived usefulness, ease of use, trustworthiness, bias, and anthropomorphism.
Citations: 21
Sample Size: 2002
