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Driving task requires cognitive processes to sense traffic environment, understand context and situation, and decide how to control vehicle. This cognitive workload is mainly caused by processing visual information acquired while driving. This visual cognitive workload is one of the key factors for driving safety with visual distraction. To reduce these visual workload and distraction, augmented reality technology is applied to head-up display (AR-HUD). However, AR-HUD can confuse driver by overlaying graphical object onto real traffic object, degrade driver performance, and as a result increase risk of accidence. To confirm whether the AR-HUD is useful enhancing driving safety or not, we conducted experiments on driver’s cognitive response behavior under daytime and nighttime conditions. In this paper, we describe the AR-HUD system we have been developing and experiments and results.

We introduce driver-oriented intelligent HVI (Human-Vehicle Interaction) system, which is designed to integrate the interfaces in the vehicle. The proposed HVI system monitors the vehicle, the cell phone, the car navigation system to recognize the driver's primary tasks and secondary tasks. It is estimated the driving workload from the status information, the output information is controlled based on the driving workload. We implemented the proposed HVI system with the vehicle information collector, the HVI cell phone and the HVI car navigation system. In this paper, the structure of the proposed HVI system is described and the implemented system deployment is represented. The proposed HVI system will be extended to be connected other IT devices in the vehicle environment and to estimate the driving workload more exactly.