Abstract
The individualization of autonomous vehicles (AV) promises great improvements in AV acceptance and reduction of uncertainty about the safe functioning of the vehicle. To individualize the AV as quickly as possible, a priori knowledge about the passengers could be used to set up the vehicle behavior. We performed a driving simulator study to derive maneuver-based driving styles. Theses driving styles were presented to users as video sequences during an online study. The online study focuses on items regarding driving style, trust in automation and personality traits. We analyzed correlations between these factors and preferences in different traffic scenarios. Our results suggest that the usage of a priori knowledge about the passenger including a subset of demographic data, personality traits and driving styles can produce a good preset for a driving behavior to quickly increase the acceptance of automation.
Y. Brück, D. Niermann and A. Trende—Equally contributing.
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Acknowledgments
This work was supported by the German Federal Ministry of Transport and Digital Infrastructure in the funding program Automated and Connected Driving, AutoAkzept and by the DFG-grant “Learning from Humans – Building for Humans” (project number: 433 524 510).
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Brück, Y., Niermann, D., Trende, A., Lüdtke, A. (2021). Investigation of Personality Traits and Driving Styles for Individualization of Autonomous Vehicles. In: Russo, D., Ahram, T., Karwowski, W., Di Bucchianico, G., Taiar, R. (eds) Intelligent Human Systems Integration 2021. IHSI 2021. Advances in Intelligent Systems and Computing, vol 1322. Springer, Cham. https://doi.org/10.1007/978-3-030-68017-6_12
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DOI: https://doi.org/10.1007/978-3-030-68017-6_12
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