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SPAT: Situational Prosocial and Aggressive Behavior Perception in Traffic Scale
Media Informatics and Multimedia Systems, University Oldenburg, Oldenburg, Germany; Germany and Society Division Human - Centered AI Group, OFFIS - Intstitute for Information Technology, Oldenburg, Germany.
UCL Interaction Centre, London, United Kingdom.
Eindhoven University of Technology, Eindhoven, Netherlands.
Interdisciplinary Transformation University, Linz, Austria.
Vise andre og tillknytning
2025 (engelsk)Inngår i: Main Conference Proceedings - 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2025, Association for Computing Machinery (ACM) , 2025, s. 37-54Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Automated vehicles (AVs) reached technological maturity and will soon arrive on streets as traffic participants. Human traffic participants 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, effective interaction in mixed traffic 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 traffic situations or foster traffic flow. 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 traffic scenarios. Through an online survey on N = 318 individuals and a validation study, we developed the Situational Prosocial and Aggressive Behavior in Traffic Scale and assessed it psychometrically.

sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM) , 2025. s. 37-54
Emneord [en]
aggressive behavior, Automated vehicles, measurement methods for automated traffic, measurement of social behavior, prosocial behavior, social behavior in traffic, social perception in traffic, social perception of AVs
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-373291DOI: 10.1145/3744333.3747812Scopus ID: 2-s2.0-105021397561OAI: oai:DiVA.org:kth-373291DiVA, id: diva2:2017111
Konferanse
17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2025, Brisbane, Australia, September 21-25, 2025
Merknad

Part of ISBN 9798400720130

QC 20251127

Tilgjengelig fra: 2025-11-27 Laget: 2025-11-27 Sist oppdatert: 2025-11-27bibliografisk kontrollert

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