Making automated driving support - Method for Driver-Vehicle task allocation

For partly automated driving, allocation of (sub)tasks between driver and vehicle is often considered from a technological or legal point-of-view. However, partial automation often leads to reduced operability after transitions to manually driving. Therefore, this paper presents a concise method for a more distinct task-allocation whilst accounting for various aspects influencing out-of-the-loop performance problems, among which: system complexity, avoidance of errors, ability to correct and comfort. To investigate how the method should account for these aspects, the impact of different levels of automation on task performance in general and recovery tasks in particular was considered. Next, we considered how required attention and effort influences avoidance of errors and satisfaction. After presenting the method, exemplary assessment of task allocation for an automated-parking system, showed how the provided method helps to develop new systems for partly automated driving.