The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study
To the best of our knowledge, this study is the first attempt to examine pharmacists' trust in automated pill verification technology. Our findings reveal that pharmacists have a favorable disposition toward trusting automation. Moreover, providing uncertainty information about the AI's recommendation significantly boosts pharmacists' trust in AI aid, highlighting the importance of developing transparent AI systems within health care.
Authors
- John D. Lee (ORCID: https://orcid.org/0000-0001-9808-2160)
- Corey A. Lester (ORCID: https://orcid.org/0000-0001-8774-793X)
- Qiyuan Chen (ORCID: https://orcid.org/0009-0006-4112-014X)
- Yifan Zheng (ORCID: https://orcid.org/0000-0002-6997-735X)
- Vincent D. Marshall (ORCID: https://orcid.org/0000-0002-2594-7407)
- Brigid Rowell (ORCID: https://orcid.org/0000-0002-8469-899X)
- X. Jessie Yang (ORCID: https://orcid.org/0000-0001-6071-0387)
- Raed Al Kontar (ORCID: https://orcid.org/0000-0002-4546-324X)
- Jin Yong Kim (ORCID: https://orcid.org/0009-0002-1626-7204)
Institutions
- University of Wisconsin–Madison (US)
- Madison Area Technical College (US)
- University of Michigan (US)
Publication Details
- Journal
- JMIR Human Factors
- Published
- 2024-12-23
- DOI
- https://doi.org/10.2196/60273
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.60