TY - CHAP A1 - Riener, Andreas A1 - Geisler, Stefan A1 - Pfleging, Bastian A1 - von Sawitzky, Tamara A1 - Detjen, Henrik T1 - 8th Workshop Automotive HMIs: UI Research in the Age of New Digital Realities T2 - Mensch und Computer 2019 - Workshopband UR - https://doi.org/10.18420/muc2019-ws-282 KW - user interfaces KW - automotive HMIs KW - automated driving KW - interaction concepts Y1 - 2019 UR - https://doi.org/10.18420/muc2019-ws-282 SP - 397 EP - 399 PB - Gesellschaft für Informatik CY - Bonn ER - TY - CHAP A1 - Riener, Andreas A1 - Peintner, Jakob A1 - Pfleging, Bastian A1 - Detjen, Henrik A1 - Braun, Michael ED - Wienrich, Carolin ED - Wintersberger, Philipp ED - Weyers, Benjamin T1 - 9th Workshop Automotive HMIs: natural and Adaptive UIs to Support Future Vehicles T2 - Mensch und Computer 2021 - Workshopband UR - https://doi.org/10.18420/muc2021-mci-ws10-119 KW - contextual UIs KW - automotive HMIs KW - automated Driving KW - natural interaction KW - adaptive interfaces Y1 - 2021 UR - https://doi.org/10.18420/muc2021-mci-ws10-119 PB - Gesellschaft für Informatik e.V. CY - Bonn 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 -