  Artificial intelligence (AI) is gaining momentum, and its importance for the
future of work in many areas, such as medicine and banking, is continuously
rising. However, insights on the effective collaboration of humans and AI are
still rare. Typically, AI supports humans in decision-making by addressing
human limitations. However, it may also evoke human bias, especially in the
form of automation bias as an over-reliance on AI advice. 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, we conduct an online experiment with regard to hotel review
classifications and discuss first results. We expect our research to contribute
to the design and development of safe hybrid intelligence systems.
