@inproceedings{MangerVoglRosbachetal.2023, author = {Manger, Carina and Vogl, Annalena and Rosbach, Emely and Ziegler, Carina and Riener, Andreas}, title = {Automation's Not Perfect But Neither Are We: Unveiling Illusionary Control And Automation Bias In Automated Driving}, booktitle = {15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-0112-2}, doi = {https://doi.org/10.1145/3581961.3609897}, pages = {25 -- 29}, year = {2023}, language = {en} } @techreport{LoefflerVoglLabenskietal.2022, author = {L{\"o}ffler, Christian and Vogl, Carina and Labenski, Volker and Weihmayr, Daniel and Gloger, Timm and Schwaderer, Till and Firmbach, Markus and Stoll, Johann and Blum, Kristin and Koebe, Markus}, title = {D3.5 Demo 2 Vehicle demonstrator for object detection in adverse weather conditions update}, url = {https://www.safe-up.eu/deliverables}, pages = {59}, year = {2022}, language = {en} } @article{MangerVoglRiener2025, author = {Manger, Carina and Vogl, Annalena and Riener, Andreas}, title = {Cognitive Biases in User Interaction with Automated Vehicles: The Influence of Explainability and Mental Models}, volume = {15}, pages = {11030}, journal = {Applied Sciences}, number = {20}, publisher = {MDPI}, address = {Basel}, issn = {2076-3417}, doi = {https://doi.org/10.3390/app152011030}, year = {2025}, abstract = {To develop truly human-centered automated systems, it is essential to acknowledge that human reasoning is prone to systematic deviations from rational judgment, known as Cognitive Biases. The present study investigated such flawed reasoning in the context of automated driving. In a multi-step study with N = 34 participants, the occurrence of four Cognitive Biases was examined: Truthiness Effect, Automation Bias, Action Bias, and Illusory Control. Additionally, the study explored how the Explainability of the automation's behavior and the driver's Mental Model influenced the manifestation of these biases. The findings indicate a notable susceptibility to the Truthiness Effect and Illusory Control, although all biases appeared highly dependent on the specific driving context. Moreover, Explainability strongly impacted the perceived credibility of information and participants' agreement with the system's behavior. Given the exploratory nature of the study, this work aims to initiate a discussion on how Cognitive Biases shape human reasoning and decision-making in interactions with automated vehicles. Based on the results, several directions for future research are proposed: (1) investigation of additional cognitive biases, (2) analysis of biases across different levels of automation, (3) exploration of mitigation strategies versus deliberate use of biases, (4) examination of dynamic and context-dependent manifestations, and (5) validation in high-fidelity simulations or real-world settings.}, language = {en} } @techreport{BalintSchindlerLoeffleretal.2021, author = {B{\´a}lint, Andr{\´a}s and Schindler, Ron and L{\"o}ffler, Christian and Wimmer, Peter and Kirschbichler, Stefan and Kolk, Harald and Klein, Christoph and Schories, Lars and Hay, Julian and Becker, Julian and Birkner, Christian and Lopes da Silva, Joed and Zimmer, Alessandro and Mensa, Gen{\´i}s and Parera, N{\´u}ria and Rokova, Simona and Castells, Jacint and Lorente Mallada, Jorge and Nikolaou, Stella and Vogl, Carina and Stoll, Johann}, title = {D5.2 Safety impact assessment - intermediate report}, url = {https://www.safe-up.eu/resources}, pages = {56}, year = {2021}, language = {en} } @techreport{LoefflerGlogerSilvasetal.2021, author = {L{\"o}ffler, Christian and Gloger, Timm and Silvas, Emilia and Mu{\~n}oz S{\´a}nchez, Manuel and Tolksdorf, Leon and Weihmayr, Daniel and Labenski, Volker and Koebe, Markus and Stoll, Johann and Vogl, Carina and Watanabe, Hiroki and Smit, Robin}, title = {D3.3 Vehicle demonstrator for trajectory planning and control for combined automatic emergency braking and steering manoeuvres including system for VRU detection, motion planning and trajectory control to enhance real world performance}, url = {https://www.safe-up.eu/resources}, pages = {45}, year = {2021}, language = {en} } @techreport{LoefflerGlogerTolksdorfetal.2021, author = {L{\"o}ffler, Christian and Gloger, Timm and Tolksdorf, Leon and Weihmayr, Daniel and Vogl, Carina and Watanabe, Hiroki and Stoll, Johann and Labenski, Volker and Koebe, Markus}, title = {D3.2 Demo 2 Vehicle demonstrator for object detection in adverse weather conditions}, url = {https://www.safe-up.eu/resources}, pages = {25}, year = {2021}, language = {en} }