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

Cognition and Information Processing in Human Factors Research (28) Clinical Information and Decision Making (1915) Safety and Error Prevention in Health (240) ePrescribing and Innovations in Pharmacies (84) Artificial Intelligence (2129) Simulation (164) Quality/Credibility of eHealth Information and Trust Issues (654) Design and Usability of Medical Devices (141)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60273, first published .
The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study

The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study

The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study

Authors of this article:

Jin Yong Kim1 Author Orcid Image ;   Vincent D Marshall2 Author Orcid Image ;   Brigid Rowell2 Author Orcid Image ;   Qiyuan Chen1 Author Orcid Image ;   Yifan Zheng2 Author Orcid Image ;   John D Lee3 Author Orcid Image ;   Raed Al Kontar1 Author Orcid Image ;   Corey Lester2 Author Orcid Image ;   Xi Jessie Yang1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Kim J, Lester C, Yang X. Beyond Binary Decisions: Evaluating the Effects of AI Error Type on Trust and Performance in AI-Assisted Tasks. Human Factors: The Journal of the Human Factors and Ergonomics Society 2025;67(10):1062 View
  2. Lester C, Rowell B, Zheng Y, Co Z, Marshall V, Kim J, Chen Q, Kontar R, Yang X. Effect of Uncertainty-Aware AI Models on Pharmacists’ Reaction Time and Decision-Making in a Web-Based Mock Medication Verification Task: Randomized Controlled Trial. JMIR Medical Informatics 2025;13:e64902 View
  3. Kim J, Kautz C, Yang X. Evaluating the Effects of Consequences of Error on Trust in AI-Aided Task: An Eye Tracking Study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2025;69(1):207 View