at Google ScholarTitle data
Spitzer, Philipp ; Morrison, Katelyn ; Turri, Violet ; Feng, Michelle ; Perer, Adam ; Kühl, Niklas:
Imperfections of XAI: Phenomena Influencing AI-Assisted Decision-Making.
In: ACM Transactions on Interactive Intelligent Systems.
Vol. 15
(2025)
Issue 3
.
ISSN 2160-6455
DOI: https://doi.org/10.1145/3750052
Abstract in another language
With the increasing use of artificial intelligence (AI), recent research in human-computer interaction explores explainable AI (XAI) to make AI advice more interpretable. While research addresses the effects of incorrect AI advice on AI-assisted decision-making, the impact of incorrect explanations is neglected so far. Additionally, recent work shows that not only different explanation modalities impact decision-makers, but also human factors play a critical role. To analyze relevant phenomena influencing AI-assisted decision-making, this work explores the impacting factors by conceptualizing theories of appropriate reliance and taking the first steps toward empirical evidence. We show that humans’ reliance on AI and the human-AI team performance are impacted by imperfect XAI in a study with 136 participants. Additionally, we find that cognitive styles affect decision-making in different explanation modalities. Hence, we shed light on diverse factors that impact human-AI collaboration and provide guidelines for designers to tailor such human-AI collaboration systems to individuals’ needs.