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How to Design Human-Vehicle Cooperation for Automated Driving: A Review of Use Cases, Concepts, and Interfaces

  • 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 byCurrently, 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.show moreshow less

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Metadaten
Author:Jakob PeintnerORCiD, Bengt EscherORCiD, Henrik DetjenORCiD, Carina MangerORCiD, Andreas RienerORCiD
Language:English
Document Type:Article
Year of first Publication:2024
published in (English):Multimodal Technologies and Interaction
Publisher:MDPI
Place of publication:Basel
ISSN:2414-4088
Volume:8
Issue:3
Pages:30
Article Number:16
Review:peer-review
Open Access:ja
Version:published
Tag:automated driving; cooperative driving; human–computer interaction; literature survey; taxonomy development
URN:urn:nbn:de:bvb:573-47152
Related Identifier:https://doi.org/10.3390/mti8030016
Faculties / Institutes / Organizations:Fakultät Informatik
CARISSMA Institute of Automated Driving (C-IAD)
Human-Computer Interaction Group (HCIG)
Licence (German):License Logo Creative Commons BY 4.0
Release Date:2024/04/24