Trust in Generative AI for Health Information Consumption and the Effect of Learned Dependency: An Experimental Investigation
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 incorrect) and text highlighting (highlight versus no highlight). Trust and learned dependency were meas...
| Authors | Arif Ahmed, Gondy Leroy, Agrim Sachdeva et al. |
|---|---|
| Primary category | cs.CY |
| Published | 21 May 2026 |
| Last updated at source | 28 June 2026 |
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