Accessibility settings

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

Artificial Intelligence (2399) Clinical Information and Decision Making (2105) Quality/Credibility of eHealth Information and Trust Issues (680) Decision Support for Health Professionals (1659) Digital Photography and Imaging in Dermatology (48) Health Informatics Education and Training (94) Image Recognition and AI in Dermatology (22)

Published on in Vol 27 (2025)

This is a member publication of University of Duisburg-Essen

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58660, first published .
Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among Dermatologists

Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among Dermatologists

Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among Dermatologists

Authors of this article:

Alisa Küper1 Author Orcid Image ;   Georg Christian Lodde2 Author Orcid Image ;   Elisabeth Livingstone2 Author Orcid Image ;   Dirk Schadendorf2 Author Orcid Image ;   Nicole Krämer1 Author Orcid Image
Article Authors Cited by (8) Tweetations Metrics

Journals

  1. Romeo G, Conti D. Exploring automation bias in human–AI collaboration: a review and implications for explainable AI. AI & SOCIETY 2026;41(1):259 View
  2. Cau F, Spano L. Exploring the impact of explainable AI and cognitive capabilities on users’ decisions. User Modeling and User-Adapted Interaction 2026;36(1) View
  3. Kücking F, Busch D, Przysucha M, Kutza J, Hannemann N, Hüsers J, Babitsch B, Hübner U. Impact of AI recommendation correctness on diagnostic accuracy in clinical decision-making. International Journal of Medical Informatics 2026;207:106223 View
  4. Schirmer M, Fußwinkel S, Mütze-Niewöhner S, Nitsch V, von Nitzsch R. Quality of Decision-Making Processes in Teams: An Analysis of the Effects of Supportive Organizational Culture, Perceived Decision Relevance and a Potential Use of AI. Group Decision and Negotiation 2026;35(1) View
  5. Jackson N, Brown K, Miller R, Murrow M, Cauley M, Collins B, Novak L, Benda N, Ancker J. Factors influencing the effectiveness of artificial intelligence-assisted decision-making in medicine: a scoping review. Journal of the American Medical Informatics Association 2026 View

Conference Proceedings

  1. Matej Hrkalovic T, Dudzik B, Hao C, Willemsen M. Proceedings of the 31st International Conference on Intelligent User Interfaces. User Reliance on AI Support for Collaborative Partner Selection View
  2. Cheatle C, Banks A. Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems. Accurate but Not Confident or Confident but Not Accurate? Cognitive Offloading Impairs Confidence Calibration in Human-AI Teams View
  3. Xu Y, Zhu Y, Wang H, Wu Y, Ouyang Y, Li H, Zhou W, Liu X, Jiang C, Li Q. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. “Do I Trust the AI?” Towards Trustworthy AI-Assisted Diagnosis: Understanding User Perception in LLM-Supported Clinical Reasoning View