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Study on Drivers’ Situation Awareness in a Glance During Automated Driving

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Abstract

Driving automation leads to meaningful changes in the role of the driver, from the primary party responsible for executing all dynamic driving tasks to the supervision of selective tasks in automated driving systems with varying levels of automation. In partially automated systems, drivers are required to resume control occasionally, either voluntarily or involuntarily. This paper aims at exploring human factors influencing the course of the takeover. Through a review of a large body of literature and a summary of observations, some particularly influential driver-related issues are identified. These issues include mental workload and distraction, situation awareness, and trust. Based on the consideration of these issues, the timing and the efficiency of driver’s takeover are analyzed.

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Correspondence to Yue Wang .

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Qin, H., Chen, N., Wang, Y. (2022). Study on Drivers’ Situation Awareness in a Glance During Automated Driving. In: Rau, PL.P. (eds) Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design. HCII 2022. Lecture Notes in Computer Science, vol 13314. Springer, Cham. https://doi.org/10.1007/978-3-031-06053-3_15

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  • DOI: https://doi.org/10.1007/978-3-031-06053-3_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06052-6

  • Online ISBN: 978-3-031-06053-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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