Predicting Human Interleaving Time in Semi-Automated Vehicles

We present the first steps towards a processing model to understand transitions of control in semi-automated vehicles. In a transition of control, a human takes over the control from a (semi-) automated vehicle. Based on a recent theoretical model, we describe this process as interruption handling. In an interruption handling process, various distinct processing steps can be identified. We then take the data from a recent meta-review on transitions of control to map response times to specific processing stages of interruption handling. We then estimate the response time distribution for each stage. The model can then be used to identify what response distributions might look like for different scenarios, such as different alert modalities. Initial findings highlight how for example bi-modal alerts mostly speed-up initial processes of the interruption handling, but later processes less so.