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(Over)Trusting AI Recommendations: How System and Person Variables Affect Dimensions of Complacency

Harbarth, Lydia; Gößwein, Eva; Bodemer, Daniel; Schnaubert, Lenka

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Authors

Lydia Harbarth

Eva Gößwein

Daniel Bodemer



Abstract

Over-trusting AI systems can lead to complacency and decision errors. However, human and system variables may affect complacency and it is important to understand their interplay for HCI. In our experiment, 90 participants were confronted with traffic route problems guided by AI recommendations and thereby assigned to either a transparent system providing reasons for recommendations or a non-transparent system. We found transparent systems to lower the potential to alleviate workload (albeit not to neglect monitoring), but to simultaneously foster actual complacent behavior. On the contrary, we found performance expectancy to foster the potential to alleviate workload, but not complacent behavior. Interaction analyses showed that effects of performance expectancy depend on system transparency. This contributes to our understanding how system- and person-related variables interact in affecting complacency and stresses the differences between dimensions of complacency and the need for carefully considering transparency and performance expectancy in AI research and design.

Citation

Harbarth, L., Gößwein, E., Bodemer, D., & Schnaubert, L. (2025). (Over)Trusting AI Recommendations: How System and Person Variables Affect Dimensions of Complacency. International Journal of Human-Computer Interaction, 41(1), 391-410. https://doi.org/10.1080/10447318.2023.2301250

Journal Article Type Article
Acceptance Date Dec 29, 2023
Online Publication Date Jan 22, 2024
Publication Date 2025
Deposit Date Jan 23, 2024
Publicly Available Date Jan 25, 2024
Journal International Journal of Human-Computer Interaction
Print ISSN 1044-7318
Electronic ISSN 1532-7590
Publisher Taylor and Francis
Peer Reviewed Peer Reviewed
Volume 41
Issue 1
Pages 391-410
DOI https://doi.org/10.1080/10447318.2023.2301250
Keywords Complacency; human-AI interaction; performance expectancy; transparency; trust
Public URL https://nottingham-repository.worktribe.com/output/30110889
Publisher URL https://www.tandfonline.com/doi/full/10.1080/10447318.2023.2301250

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Over Trusting AI Recommendations How System And Person Variables Affect Dimensions Of Complacency (2.1 Mb)
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Licence
https://creativecommons.org/licenses/by/4.0/

Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.





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