… the algorithmic component, algorithm aversion becomes more and … Algorithm aversion is
discussed as one of the potential … into a theoretical model of algorithm aversion, which we base …

… The absence of algorithm aversion observed in our study may be the result of using the
Mturk platform, an online platform that may lead to the more technological orientation of …

… Advice fails and algorithm aversion (days 8-10) Following algorithm failure on day 7, we find
an average adoption drop of 28% on day 8. When we explore the different explanations we …

… of algorithm aversion, which we base our hypotheses on. Characteristics of the algorithm as
… However, as research on algorithm aversion in the context of AI remains scarce (Berger et al…

… Therefore, this study contributes to an enhanced understanding of algorithm aversion and
is … in this study as algorithm aversion although users rather interact with IT systems than with …

… We aim to shed light on the potential to influence automation bias by explainable AI (XAI).
In this pre-test, we derive a research model and describe our study design. Subsequentially, …

… With our research, we aim to explore this gap empirically with a user study. Using four … to
a lack of explainability can fuel algorithm aversion of the end user. The aversion describes a …

… , a comprehensive framework has been presented, delineating the relationships of
different factors emerging from this study to provide a holistic overview of algorithm aversion. …

… Few studies to our knowledge have attempted to explore human-algorithm interactions in a
… As we have seen, it can also lead to automation bias or algorithmic aversion. We argue that …

… making algorithm operations explainable, explainable … studies, which confirm the positive
effect of explainable AI. However, most research about human-AI interaction and explainable …