Road traffic is a social environment where drivers’ actions affect not only themselves but also other road users, including pedestrians and cyclists. With the increasing automation of vehicles, interactions in traffic will transform, relying on cooperation between vehicles, environments, and users through advanced technologies. 

This project investigates how automation is changing social interaction in traffic and how sensory technologies can shape these interactions. Using multimodal sensors, including in-vehicle sensors and wearables, the study will explore how traffic situations are perceived by drivers and other road users, aiming to identify behaviors that are considered prosocial and contribute to a harmonious and safe traffic environment. The research will also develop new communication methods and interaction concepts for cooperation between humans and automated vehicles, addressing issues such as reliability, norm compliance, and decision-making. Ultimately, the project will provide a test environment and guidelines for designing interactive technologies that encourage prosocial behavior in traffic, using both qualitative and quantitative methods to assess social interactions in various traffic scenarios.