Detection of Implicit Driving Cues as the Basis for a Proactive Driving Style of Highly Automated Cars (D02)

• Subject Area: Social Psychology, Industrial and Organisational Psychology ; Human Factors, Ergonomics, Human-Machine Systems ; Traffic and Transport Systems, Intelligent and Automated Traffic
• Term: from 2020 to 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 416228727

The project focusses on investigating vehicle-to-vehicle communication with a detailed consideration of implicit driving cues. The main aim is to identify, characterize and test relevant implicit driving cues in various situations as a basis for automated driving. The research questions are addressed by different, yet complementary research methods: a secondary data analysis (WP1), a naturalistic driving study (WP2.1), lab studies with constructed on-road video recordings (WP2.2), two driving simulator studies (WP3, WP4.1), and an on-road study using the ghost driver approach (WP4.2).

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1410: Hybrid Societies: Humans Interacting with Embodied Technologies
• Applicant Institution: Technische Universität Chemnitz
• Project Heads: Professorin Dr. Angelika Bullinger-Hoffmann; Professor Dr. Josef F. Krems, until 12/2023