TY - CHAP A1 - Escher, Bengt A1 - Manger, Carina A1 - Daou, Makram A1 - Dünninger, Theresa A1 - Riener, Andreas ED - Michahelles, Florian ED - Knierim, Pascal ED - Häkkilä, Jonna T1 - A Comparative Analysis of Preferred Communication Options of Passengers in Networked Shared Automated Vehicles T2 - Proceedings of MUM 2023: the 22nd International Conference on Mobile and Ubiquitous Multimedia UR - https://doi.org/10.1145/3626705.3631801 Y1 - 2023 UR - https://doi.org/10.1145/3626705.3631801 SN - 979-8-4007-0921-0 SP - 541 EP - 543 PB - ACM CY - New York ER - TY - CHAP A1 - Escher, Bengt A1 - Peintner, Jakob A1 - Riener, Andreas T1 - Beyond Automation: Exploring Passenger Cooperation and Perception in Teleoperated Shared Automated Vehicles (SAVs) T2 - 2024 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV55156.2024.10588392 Y1 - 2024 UR - https://doi.org/10.1109/IV55156.2024.10588392 SN - 979-8-3503-4881-1 SP - 1246 EP - 1251 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Peintner, Jakob A1 - Escher, Bengt A1 - Detjen, Henrik A1 - Manger, Carina A1 - Riener, Andreas T1 - How to Design Human-Vehicle Cooperation for Automated Driving: A Review of Use Cases, Concepts, and Interfaces JF - Multimodal Technologies and Interaction N2 - Currently, a significant gap exists between academic and industrial research in automated driving development. Despite this, there is common sense that cooperative control approaches in automated vehicles will surpass the previously favored takeover paradigm in most driving situations due to enhanced driving performance and user experience. Yet, the application of these concepts in real driving situations remains unclear, and a holistic approach to driving cooperation is missing. Existing research has primarily focused on testing specific interaction scenarios and implementations. To address this gap and offer a contemporary perspective on designing human–vehicle cooperation in automated driving, we have developed a three-part taxonomy with the help of an extensive literature review. The taxonomy broadens the notion of driving cooperation towards a holistic and application-oriented view by encompassing (1) the “Cooperation Use Case”, (2) the “Cooperation Frame”, and (3) the “Human–Machine Interface”. We validate the taxonomy by categorizing related literature and providing a detailed analysis of an exemplar paper. The proposed taxonomy offers designers and researchers a concise overview of the current state of driver cooperation and insights for future work. Further, the taxonomy can guide automotive HMI designers in ideation, communication, comparison, and reflection of cooperative driving interfaces. UR - https://doi.org/10.3390/mti8030016 KW - automated driving KW - cooperative driving KW - human–computer interaction KW - taxonomy development KW - literature survey Y1 - 2024 UR - https://doi.org/10.3390/mti8030016 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-47152 SN - 2414-4088 VL - 8 IS - 3 PB - MDPI CY - Basel ER - TY - CHAP A1 - Escher, Bengt A1 - Herde, Jonas A1 - Nikolai, Florian A1 - Riener, Andreas T1 - Regulating Teleoperation on Public Roads: Key Takeaways From an Expert Workshop T2 - 2025 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV64158.2025.11097504 Y1 - 2025 UR - https://doi.org/10.1109/IV64158.2025.11097504 SN - 979-8-3315-3803-3 SP - 2601 EP - 2606 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Escher, Bengt A1 - Peintner, Jakob A1 - Riener, Andreas T1 - The Significance of the Bystander Effect on Personal Responsibility in Critical Situations in Shared Automated Vehicles T2 - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22–25, 2024, Stanford, USA, Main Conference Proceedings N2 - 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. UR - https://doi.org/10.1145/3640792.3675704 Y1 - 2024 UR - https://doi.org/10.1145/3640792.3675704 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-51643 SN - 979-8-4007-0510-6 SP - 384 EP - 394 PB - ACM CY - New York ER -