Publication
Tailoring Takeover Requests in Autonomous Driving to Mental Workload
Tobias Jungbluth; Maurice Rekrut; Amr Gomaa; Michael Feld
In: 5th International Neuroergonomics Conference. Neuroergonomics Conference (NEC-2024), July 8-12, Bordeaux, France, Frontiers in Neuroergonomics, 2024.
Abstract
In recent times, autonomous driving has emerged as a technology to take over driving tasks for humans. While the future of automated vehicles is to drive fully autonomously without accidents or human intervention (i.e., SAE Level 5), current research in autonomous vehicles still requires human intervention during complex scenarios (i.e., SAE Level 3). There are multiple aspects to consider when the vehicle transfers the control to the driver, such as Takeover Request (TOR) time, modality, and warning location. In this work, we investigate the correlation between TOR time and the mental workload of the driver, measured by EEG, before and after taking control of the vehicle to best tailor these events to the current workload of the driver in the future. We found that the mental workload rises significantly often after the TOR and that the transfer time had no significant effect on the mental workload in our setup.