LAUSR

Abstract Conditional driving automation occasionally decouples drivers from driving to participate in non-driving related tasks. On the other hand, situation awareness of drivers in some driving situations that can not be managed by the automated system is required to avoid accidents. In recent years, it has been observed that surrounding traffic conditions, complexity of the driving scenario, secondary tasks, speed of ego vehicle, and takeover request experience affect takeover performance. However, the scope of influence of the variables is not known in detail. This contribution discusses an approach for systematically designing these variables. The approach utilizes known dimensions of complex dynamical systems and fundamentals of multitasking to design driving scenarios and non-driving related tasks. The effect of the variables are systemically varied to generate different driving situations to better understand their scope and interaction.