@inproceedings{MalvePeintnerSadeghianetal.2023, author = {Malve, Bhavana and Peintner, Jakob and Sadeghian, Shadan and Riener, Andreas}, title = {"Do You Want to Drive Together?" - A Use Case Analysis on Cooperative, 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/10.1145/3581961.3609871}, pages = {209 -- 214}, year = {2023}, language = {en} } @inproceedings{PeintnerMangerAlvarezetal.2025, author = {Peintner, Jakob and Manger, Carina and Alvarez, Ignacio and Riener, Andreas}, title = {Enhancing Pedestrian Realism in Adverse-Weather Driving Simulations Using Motion Capture Data}, booktitle = {Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-2014-7}, doi = {https://doi.org/10.1145/3744335.3758507}, pages = {214 -- 219}, year = {2025}, language = {en} } @inproceedings{EscherPeintnerRiener2024, author = {Escher, Bengt and Peintner, Jakob and Riener, Andreas}, title = {The Significance of the Bystander Effect on Personal Responsibility in Critical Situations in Shared Automated Vehicles}, booktitle = {16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2024, Stanford, USA, Main Conference Proceedings}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-0510-6}, doi = {https://doi.org/10.1145/3640792.3675704}, pages = {384 -- 394}, year = {2024}, abstract = {Shared Automated Vehicles (SAVs) present a promising solution for future urban mobility. However, SAVs will reach the limits of their capabilities in some edge cases. Similar to personal AVs, passengers in SAVs might be utilized for this purpose, thus, methods for interaction between passengers and the automation or a teleoperator need to be explored. This study investigates whether the presence of other passengers leads to more passive behavior in critical situations (bystander effect). The results did not show significant differences in the participants' behavior depending on whether the ride was experienced alone or with other passengers. However, the qualitative data indicate that the presence of other passengers can trigger psychological processes that promote a bystander effect. The findings emphasize the importance of considering group effects in the context of SAVs. By understanding these dynamics, we aim to help design SAVs to promote safer and more inclusive future transport systems.}, language = {en} } @article{PeintnerMangerBergeretal.2025, author = {Peintner, Jakob and Manger, Carina and Berger, Melanie and Riener, Andreas}, title = {Balancing transparency and control: The impact of AI explanation detail on user perception in automated vehicles}, volume = {2025}, pages = {101742}, journal = {Transportation Research Interdisciplinary Perspectives}, number = {34}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2590-1982}, doi = {https://doi.org/10.1016/j.trip.2025.101742}, year = {2025}, abstract = {As automated vehicle technology advances, explainable AI has emerged as a critical tool to enable users to understand and predict the behavior of AI systems, particularly in safety-critical applications such as automated driving. However, increased transparency in AI explanations may inadvertently contribute to an "illusion of control", a cognitive bias in which drivers overestimate their influence or understanding of the AI's actions. We aim to better understand how the level of detail in AI explanations affects users of automated vehicles. In a virtual reality study, N = 44 participants experienced different explanation levels (low, medium, high) in an automated ride (SAE L4) compared to a baseline condition with no explanations. The results show a significant improvement in participants' user experience, acceptance, and explanation satisfaction, with more detailed explanations. Our findings also indicate that as AI explanations become more detailed, users' perceived level of control increases significantly, although this perception does not correlate with actual control capabilities. At the same time, it decreased their desire to take control, indicating users' susceptibility to the 'illusion of control' bias in the context of automated driving. Overall, this suggests that the design of explanation interfaces should strive for a balanced level of detail that promotes AI transparency without causing cognitive overload. At the same time, explainable AI can be utilized to decrease users' desire to intervene in the AI's actions.}, language = {en} } @unpublished{PeintnerMangerBergeretal.2024, author = {Peintner, Jakob and Manger, Carina and Berger, Melanie and Riener, Andreas}, title = {Balancing Transparency and Control: The Impact of Ai Explanation Detail on User Perception in Automated Vehicles}, titleParent = {SSRN}, publisher = {Elsevier}, address = {Amsterdam}, doi = {https://dx.doi.org/10.2139/ssrn.5027721}, year = {2024}, language = {en} }