Advanced Driver Assistance Systems and Emotion-based Driver Behavior

Automobiles have evolved over the decades to include an increasing number of automated systems that assist the driver or even take over control of the vehicle. As a result, the human demands from vehicles have changed so that cognitive power can be used to participate in other activities while driving. These advanced drivers assistance systems (ADAS) include features such as lane keeping assistance, adaptive cruise control, blind spot monitoring and emergency crash avoidance. Each of these systems works to improve vehicle safety, principally by decreasing the required human intervention in some task (e.g., maintaining lane, emergency braking, etc.). ADAS portend the availability of fully self-driving vehicles and the promise of complete road safety. While ADAS have helped reduce the number of roadway collisions, they have not completely omitted the risk of a collision.Although Advanced Driver Assistance Systems (ADAS) have helped reduce driving risk, the control of the vehicle is still largely in the hands of a human driver, whose emotional state while driving could have a significant impact on their risk, and is in constant flux. Emotions have been proven to affect the driving habits of drivers, although the valence, magnitude and significance of impact depend on the individual. Addressing driving risk with ADAS, therefore, should focus on adapting to adverse emotional states. In this paper, we review the current understanding of emotion state development and evolution in drivers and their impact on behavior. Secondly, we review the current capabilities in advanced driver assistance systems. This work is the first part of a broader research effort aimed at developing ADAS that are capable of adapting to driver emotion state.Each emotion affects drivers performance differently through valence and significance. For example, the driving performance of someone experiencing anger is different than the driving performance of someone experiencing sadness. In these moments of extreme valence (positive or negative), driver performance is reduced and the potential for accidents is increased. In this paper, we review the current understanding of emotion state development and evolution in drivers and their impact on behavior. Secondly, we review the current capabilities in advanced driver assistance systems. This work is the first part of a broader research effort aimed at developing ADAS that are capable of adapting to driver emotion state.