Abstract
In conditional automated driving, vehicles monitor the driving environment. Simultaneously, driver can also attend to a secondary task, but also need regain driving control when vehicle requests to intervene. The collaboration of vehicle and human driver support the driving experience in this situation. From automated driving to manual driving while in highway scenario, many researchers focus on secondary task engagement, take-over time and requests. This paper evaluates human performance while regaining driving control in conditional automated driving, research investigates take-over requests under highway hazard scenario through visual scanning analysis in lane changing situation. Different obstacles cause driver visual attention mode changes and adaptations. Results show that all participants can take-over in 6 s for voice chat tasks, while in electronic reading condition, not all participants complete can take-over even in 8 s.
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You, F., Wang, Y., Wang, J., Zhu, X., Hansen, P. (2018). Take-Over Requests Analysis in Conditional Automated Driving and Driver Visual Research Under Encountering Road Hazard of Highway. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2017. Advances in Intelligent Systems and Computing, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-319-60366-7_22
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DOI: https://doi.org/10.1007/978-3-319-60366-7_22
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