Successful PhD defense by Aaron Edelmann

Congratulations, Dr. Aaron Edelmann,

We are excited to announce the successful PhD defense of Aaron Edelmann at our chair! Last Friday, he successfully defended his dissertation on: "Automated driving functions, the decisions they make and how they are trusted - Acceptance, trust, and perceived safety from the user's perspective." His work was supervised by Prof. Tibor Petzoldt (University) and Stefan Stümper (Audi). The reviewers were Prof. Tibor Petzoldt and Prof. Josef Krems.

What is the dissertation about?

Automated driving functions promise numerous benefits, including fewer accidents, increased traffic efficiency, and enhanced driver comfort. But how are these systems perceived? How can we foster trust and acceptance? Through six extensive studies, Aaron Edelmann explored how users perceive automated vehicles and how design decisions influence acceptance and trust.  This work contributes to designing future-proof, user-friendly automated driving systems.

Key publications:

🔗  Edelmann, A., Stümper, S., & Petzoldt, T. (2023). The interaction between perceived safety and perceived usefulness in automated parking as a result of safety distance. Applied Ergonomics, 108, 103962. doi:10.1016/j.apergo.2022.103962

🔗 Edelmann, A., Stümper, S., & Petzoldt, T. (2021). Cross-cultural differences in the acceptance of decisions of automated vehicles. Applied Ergonomics, 92, 103346. doi:10.1016/j.apergo.2020.103346

🔗 Edelmann, A., Stümper, S., Kronstorfer, R. & Petzoldt, T. (2020). Effects of User Instruction on Acceptance and Trust in Automated Driving. In 2020 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 1129-1134), IEEE. doi: 10.1109/ITSC45102.2020.9294511

🔗 Edelmann, A., Stümper, S. & Petzoldt, T. (2019). Specific feedback matters – The role of specific feedback in the development of trust in automated driving systems. In 2019 IEEE Intelligent Vehicles Symposium (IV) (pp. 2223-2228), IEEE. doi:10.1109/IVS.2019.8814126