What Makes a Good Team? - Towards the Assessment of Driver-Vehicle Cooperation.

Petermeijer, Sebastianus Martinus; Tinga, Angelica M.; Jansen, Reinier J.; Reus, A. de; Waterschoot, Boris van

doi:10.1145/3409118.3475153

Cited by 2 publications

(2 citation statements)

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“…Zimmermann et al [23] defined a taxonomy of five levels of cooperation that can be applied to different scenarios to analyze the cooperation. Tinga et al proposed a framework defining the key elements required for assessing the quality of cooperation, or shared control in general, based on previous work by Petermeijer et al [24]. Petermeijer et al [24] identified seven relevant dimensions: (1) compatible goals, (2) shared situational awareness, (3) consistent and compatible mental models, (4) distribution of responsibility, (4) capability and authority, (5) adaptability, (6) conflicts and (7) communication.…”

Section: Existing Framework and Taxonomies For Driver-vehicle Coopera...mentioning

confidence: 99%

“…", in our opinion, is essential in designing cooperation between humans and automation while ensuring that users actually feel the inclination to use these systems. Walch et al [30] defined prerequisites for driver-vehicle cooperation, and Tinga et al [24] proposed dimensions to measure the quality of cooperation. However, this is only applicable if the humans inside the automated vehicle feel an intrinsic need to cooperate with the automation and that this cooperation is beneficial in some way.…”

Section: Research Questions and Aim Of The Papermentioning

confidence: 99%

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

Peintner,

Escher,

Detjen

et al. 2024

MTI

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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.

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Section: Existing Framework and Taxonomies For Driver-vehicle Coopera...mentioning

confidence: 99%

Section: Research Questions and Aim Of The Papermentioning

confidence: 99%