Explainable AI: The Effect of Contradictory Decisions and Explanations on Users’ Acceptance of AI Systems

Abstract

Providing explanations of an artificial intelligence (AI) system has been suggested as a means to increase users’ acceptance during the decision-making process. However, little research has been done to examine the psychological mechanism of how these explanations cause a positive or negative reaction in the user. To address this gap, we investigate the effect on user acceptance if decisions and the associated provided explanations contradict between an AI system and the user. An interdisciplinary research model was derived and validated by an experiment with 78 participants. Findings suggest that in decision situations with cognitive misfit users experience negative mood significantly more often and have a negative evaluation of the AI system’s support. Therefore, the following article provides further guidance regarding new interdisciplinary approaches for dealing with human-AI interaction during the decision-making process and sheds some light on how explainable AI can increase users’ acceptance of such systems.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Carolin Ebermann

Carolin Ebermann is a research associate at PFH Private University of Applied Sciences Göttingen, Germany. Before she was a User Experience Consultant at eresult GmbH. Carolin studied Psychology at the TU Braunschweig. Afterwards, she completed her PhD in business informatics at the Georg-August-University of Göttingen.

Matthias Selisky

Matthias Selisky is a UX Designer at generic.de software technologies AG. Before he was a research associate at PFH Private University of Applied Sciences Göttingen. Matthias earned a Master of Science in Neuropsychology from Oldenburg University, and a Bachelor of Science degree in Cognitive Science from Osnabrück University.

Stephan Weibelzahl

Stephan Weibelzahl is a professor of business psychology at PFH Private University of Applied Sciences Göttingen, Germany. He received a PhD from University of Trier, headed a research team at Fraunhofer IESE, Kaiserslautern and worked as lecturer at National College of Ireland, Dublin.