Human–Machine Interaction: Foundations of Fair Decisions

The project investigates how people interact with digital decision-support systems. A particular focus is on psychological processes that influence how algorithmic systems are used, as well as on individual differences in interacting with such technologies.

The project is interdisciplinary and conducted in close collaboration with researchers in information systems. This approach provides applied insights into psychological processes in technology-supported personnel decisions.

Talks & Posters:

Ruthsatz, V., Heimbach, I., Müller, O., & Saunders, M. (accepted.). Selective adherence matters: Extension and validation of bias blind spot scale to human-algorithm advice taking systems [Oral presentation]. 8th Gender & STEM Conference, Salzburg, Austria.

Ruthsatz, V., Heimbach, I., & Müller, O. (under review). The double blind spot in human–AI decision making: The role of AI literacy, gender, and stereotypical expectations in reliance on algorithmic advice [Research talk]. 54th DGPs-Congress 2026, Section “Digital Transformation and AI,” Luxembourg.