Unveiling the Lack of Scalability in Research on External Communication of Autonomous Vehicles

Colley, Mark; Walch, Marcel; Rukzio, Enrico

doi:10.1145/3334480.3382865

Cited by 35 publications

(16 citation statements)

References 34 publications

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“…However, various studies showed benefits of such concepts for people with visual impairments by providing information about the current environment (e.g., the AV's intention and other approaching vehicles) and trust toward AVs in crossing decisions (Löcken et al, 2019). Issues such as overtrust (Holländer et al, 2019) and scalability (Colley et al, 2020c) still have to be overcome.…”

Section: Heavy Machinery Interactionmentioning

confidence: 99%

Requirements for the Interaction With Highly Automated Construction Site Delivery Trucks

et al. 2022

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Automated trucks for long-distance journeys seem within reach. With such automation, no human driver could be available. However, the last mile of the delivery is likely to involve humans. Therefore, either a human driver should still be present, or construction site workers must interact with the automated truck. While automated trucks capable of dealing with various construction sites could be feasible, the development could be costly and time-consuming. To define cooperative solutions for automated deliveries incorporating interaction between automated trucks and humans, a workshop with truck drivers (N = 7) was conducted. Based on this workshop, a model of the delivery process, including communication needs, is proposed. Requirements addressing the issues for highly automated delivery are derived from this process.

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Section: Heavy Machinery Interactionmentioning

confidence: 99%

Requirements for the Interaction With Highly Automated Construction Site Delivery Trucks

et al. 2022

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“…One overlooked factor in AV-VRU research is social norms and social factors (Colley et al, 2019), alongside scalability problems (Colley et al, 2020;Dey et al, 2021). Pedestrians were more likely to cross the road if other pedestrians around them had started crossing (Faria et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Deviant Behavior of Pedestrians: A Risk Gamble or Just Against Automated Vehicles? How About Social Control?

2022

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Recent evidence suggests that the assumed conflict-avoidant programming of autonomous vehicles will incentivize pedestrians to bully them. However, this frequent argument disregards the embedded nature of social interaction. Rule violations are socially sanctioned by different forms of social control, which could moderate the rational incentive to abuse risk-avoidant vehicles. Drawing on a gamified virtual reality (VR) experiment (n = 36) of urban traffic scenarios, we tested how vehicle type, different forms of social control, and monetary benefit of rule violations affect pedestrians’ decision to jaywalk. In a second step, we also tested whether differences in those effects exist when controlling for the risk of crashes in conventional vehicles. We find that individuals do indeed jaywalk more frequently when faced with an automated vehicle (AV), and this effect largely depends on the associated risk and not their automated nature. We further show that social control, especially in the form of formal traffic rules and norm enforcement, can reduce jaywalking behavior for any vehicle. Our study sheds light on the interaction dynamics between humans and AVs and how this is influenced by different forms of social control. It also contributes to the small gamification literature in this human–computer interaction.

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“…Prior work in the theoretical foundation of eHMI design [4,8,33] identified scalability as an important component of a good eHMI. A scalable eHMI is defined as one that is able to communicate with multiple traffic stakeholders (in this case, pedestrians) with clarity and unambiguity [8].…”

Section: Introductionmentioning

confidence: 99%

Towards Scalable eHMIs: Designing for AV-VRU Communication Beyond One Pedestrian

Dey

Vastenhoven

Cuijpers

et al. 2021

13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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Figure 1: We conducted a VR-based study to test the scalability of several eHMI designs. How good are eHMIs at clear and unambiguous interactions in situations with multiple pedestrians? When an automated vehicle approaches more than one non-co-located pedestrians, can eHMIs effectively communicate whom the AV intends to yield to? If the eHMI communicates that the AV is yielding, is it clear to the participant whether the AV is yielding to them, or to the other pedestrian who is standing further down the road?

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Unveiling the Lack of Scalability in Research on External Communication of Autonomous Vehicles

Cited by 35 publications

References 34 publications

Requirements for the Interaction With Highly Automated Construction Site Delivery Trucks

Requirements for the Interaction With Highly Automated Construction Site Delivery Trucks

Deviant Behavior of Pedestrians: A Risk Gamble or Just Against Automated Vehicles? How About Social Control?

Towards Scalable eHMIs: Designing for AV-VRU Communication Beyond One Pedestrian

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