Second Workshop on Trust in the Age of Automated Driving

Wintersberger, Philipp; Noah, Brittany E.; Kraus, Johannes; McCall, Roderick; Mirnig, Alexander G.; Kunze, Alexander; Thakkar, Shailie; Walker, Bruce N.

doi:10.1145/3239092.3239099

Cited by 11 publications

(2 citation statements)

References 17 publications

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“…In the absence of a human driver (i.e., fully automated vehicle), pedestrians took their crossing decision mainly dependent on the distance of the approaching car, which is in line with the findings of prior investigations (Oxley et al, 2005;Yannis et al, 2013;Moore et al, 2019;Dey et al, 2020c;Holländer et al, 2020b). However, we believe that explicit communication has the potential to enhance trust of automated driving and should therefore not be neglected (Noah et al, 2017;Wintersberger et al, 2018;Holländer et al, 2019b). Projections scored second best for intuitive understanding and slightly exceeded the baseline in the point "Low subjective mental workload."…”

Section: Comprehensibilitysupporting

confidence: 88%

“…Previous studies have highlighted that safety (objective and subjective), comprehensibility, and usability are decisive factors when evaluating VRU-AV communication concepts (Noah et al, 2017;Wintersberger et al, 2018). To determine which concepts lead to the most optimal results, we aimed to measure these factors through an immersive virtual reality investigation that simulates a realistic first-person view experience.…”

Section: User Studymentioning

confidence: 99%

See 1 more Smart Citation

Take It to the Curb: Scalable Communication Between Autonomous Cars and Vulnerable Road Users Through Curbstone Displays

Holländer¹,

Hoggenmueller²,

Gruber³

et al. 2022

Front. Comput. Sci.

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Automated driving will require new approaches to the communication between vehicles and vulnerable road users (VRUs) such as pedestrians, e.g., through external human–machine interfaces (eHMIs). However, the majority of eHMI concepts are neither scalable (i.e., take into account complex traffic scenarios with multiple vehicles and VRUs), nor do they optimize traffic flow. Speculating on the upgrade of traffic infrastructure in the automated city, we propose Smart Curbs, a scalable communication concept integrated into the curbstone. Using a combination of immersive and non-immersive prototypes, we evaluated the suitability of our concept for complex urban environments in a user study (N = 18). Comparing the approach to a projection-based eHMI, our findings reveal that Smart Curbs are safer to use, as our participants spent less time on the road when crossing. Based on our findings, we discuss the potential of Smart Curbs to mitigate the scalability problem in AV-pedestrian communication and simultaneously enhance traffic flow.

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