Trust in Generative AI for Health Information Consumption and the Effect of Learned Dependency: An Experimental Investigation
Arif Ahmed; Gondy Leroy; Agrim Sachdeva; Philip Harber; Stephen A. Rains; Seokjun Youn; Prosanta Barai · 2026 · arXiv
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Background: Generative artificial intelligence (GenAI) is increasingly used for health information, yet its influence on users' trust calibration remains unclear. Objective: This study examines whether learned dependency on GenAI influences trust in AI-generated health information and whether text highlighting reduces overreliance on incorrect outputs. Methods: Two randomized controlled experiments were conducted with 338 college students and 563 Amazon Mechanical Turk participants. Both experiments used a 2 by 2 between-subjects design manipulating information accuracy (correct versus incorre
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Metadata source: arXiv