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Automated vehicles (AVs) reached technological maturity and will soon arrive on streets as tra#c participants. Human tra#c partici- pants such as drivers, pedestrians, or cyclists will be increasingly confronted with the presence of AVs within their environment, not necessarily knowing or understanding what to expect and how to interact with them. Although AVs are designed to act safely, e$ec- tive interaction in mixed tra#c scenarios will depend on successful communication, interaction, or even negotiation beyond static rules and regulations. Prosocial behavior, such as yielding one’s right of way, will be needed to resolve unclear tra#c situations or foster tra#c %ow. However, what are the characteristics of such prosocial behavior, and how to measure this not only for automated vehicles but for all road users? Here, we describe a new scale to measure perceived social behavior in urban tra#c scenarios. Through an online survey on N = 318 individuals and a validation study, we developed the Situational Prosocial and Aggressive Behavior in Tra#c Scale and assessed it psychometrically. 

In this workshop, we aim to explore how the design of technology can encourage sustainable mobility practices and facilitate interactions that promote environmentally friendly, prosocial transportation choices. We intend to identify real-world scenarios where these interactions can be implemented, discuss the challenges and opportunities they present, and develop actionable strategies for their application. We will use speculative design methods such as design fiction and anticipatory ethnography to envision alternative future mobility practices. This holistic approach aims to create a comprehensive understanding of how technology can shape sustainable and inclusive mobility ecosystems, and critique the current practices. By bringing together researchers, practitioners, and stakeholders from various disciplines, we hope to foster a collaborative network that will drive future advancements in sustainable mobility. Our goal is to address the urgent need to reduce ecological footprints and improve social experiences through innovative technological solutions. 

Automated vehicles (AVs) are expected to encounter various am- biguous space-sharing conflicts in urban traffic. Bottleneck sce- narios, where one of the parts needs to resolve the conflict by yielding priority to the other, could be utilized as a representative ambiguous scenario to understand human behavior in experimental settings. We conducted a controlled field experiment with a Wizard of Oz automated car in a bottleneck scenario. 24 participants at- tended the study by driving their own cars. They made yielding, or priority-taking decisions based on implicit and explicit locomotion cues on AV realized with an external display. Results indicate that acceleration and deceleration cues affected participants’ driving choices and their perception regarding the social behavior of AV, which further serve as ecological validation of related simulation studies.