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Higher levels of automated driving are intensely researched world wide. Highly automated vehicles will change how people travel. This promises to increase their well-being, comfort, and safety of mobility. One specific challenge thereby consists of the human driver and the smart automated driving systems to understand each other. Is the driver really ready to start manual driving again? Is the vehicle going to handle this situation safely? Is the driver distracted and cannot immediately start manual driving? What does the vehicle need to do to help the driver take control again? Questions such like are investigated by VIRTUAL VEHICLE as part of the development of driver monitoring systems. VIRTUAL VEHICLE is investigating machine learning and psychological models of driver behavior to jointly improve the quality, reliability, and availability of acceptable driver monitoring systems. Especially, bringing together the power of Machine Learning with the psychological constraints of human functioning are critical to disambiguate the complex behavior of humans within their natural context. Learn more: https://www.v2c2.at https://hadrianproject.eu/