Abstract
Car drivers constantly have to assess and evaluate conflict situations in traffic. Current technology used in autonomous vehicles to detect dangerous traffic situations is not as safe as decisions made by human drivers. We analyzed the behavior of drivers in conflict situations in a real-life study. We used head mounted eyetracking glasses and a pulse bracelet to collect data on driver’s behavior. We used eyetracking and video data to analyze conflict situations and driver’s gaze in this situations. The collected pulse data was used to determine driving stress. As a result of our work, we derived a classification method to analyze conflict situations in road traffic. We also developed a model of influencing factors of driving behavior in those conflict situations. Furthermore, our real-life study gives an overview of the potential and limits of the use of eyetracking in real traffic situations.
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Sawilla, S., Keller, C., Schlegel, T. (2020). Conflict Situations and Driving Behavior in Road Traffic – An Analysis Using Eyetracking and Stress Measurement on Car Drivers. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. Driving Behavior, Urban and Smart Mobility. HCII 2020. Lecture Notes in Computer Science(), vol 12213. Springer, Cham. https://doi.org/10.1007/978-3-030-50537-0_8
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