Implicit Cooperation: Emotion Detection for Validation and Adaptation of Automated Vehicles' Driving Behavior
This addresses the need for safer and more comfortable automated vehicles for drivers and passengers, but it appears incremental as it builds on existing emotion detection research in the automotive domain.
The paper tackles the problem of improving comfort and safety in automated vehicles by integrating emotion detection into the vehicle's decision-making process, resulting in a system that revises decisions based on driver reactions to enhance safety.
Human emotion detection in automated vehicles helps to improve comfort and safety. Research in the automotive domain focuses a lot on sensing drivers' drowsiness and aggression. We present a new form of implicit driver-vehicle cooperation, where emotion detection is integrated into an automated vehicle's decision-making process. Constant evaluation of the driver's reaction to vehicle behavior allows us to revise decisions and helps to increase the safety of future automated vehicles.