Yoonsook Hwang

Short paper: Study of driver workload-based smartphone control service

When any distracted driving of the driver is concerned, use of smartphones and navigation systems while driving are major causes for traffic accidents. However, in a situation where navigation systems are commonly installed and smartphones are commonly used within vehicles, it is better to implement technologies that control the use of smartphones in high-risk situations and allow brief periods of use otherwise, rather than ban the use of smartphones altogether while driving. This study introduces the DWMS (Driver Workload Management System) and proposes service that controls the use of smartphones according to drivers workloads. The DWMS periodically monitors the drivers behaviors and smartphone usages in order to calculate driving workload. When the calculated workload exceeds the threshold value, the driver is deemed to be overburdened and all incoming calls and SMS (Short Message Service) is blocked. The service will then make a notification when this status is relieved. In addition, at the end of driving, the DWMS will provide a summary of the information on how the driver drives, workload, and behaviors taken as a text message to the drivers smartphone. The result of this study can increase both driving safety and convenience for drivers.

Exhibition speaker: Driver-oriented intelligent human-vehicle interaction system

In this paper, 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 drivers 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.

The Usefulness of Augmenting Reality on Vehicle Head-up Display

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.