Journal ArticleDOI
Evaluations of Different Human Machine Interfaces for Presenting Right-Turn Timing at Intersections
Bo Yang,Tatsuya Obana,Zheng Wang,Tsutomu Kaizuka,Toshiyuki Sugimachi,Toshiaki Sakurai,Tetsuo Maki,Kimihiko Nakano +7 more
TLDR
It was observed that the driver’s reaction time could be significantly reduced when the right-turn timing assistance was provided with haptic and auditory interfaces alone or the combinations of haptic, auditory and visual interfaces, compared to the condition without assistance.Abstract:
Several driver assistance systems have been proposed to assist drivers to avoid collisions at intersections, by informing drivers about the existence of oncoming vehicles. However, drivers still need to judge the right-turn timing by themselves. This study proposed a right-turn timing assistance system. Different human machine interfaces of the system, including haptic, visual and auditory methods, were evaluated by analyzing the influences on driver behaviors in actual vehicle experiments. It was observed that the driver’s reaction time could be significantly reduced when the right-turn timing assistance was provided with haptic and auditory interfaces alone or the combinations of haptic, auditory and visual interfaces, compared to the condition without assistance. The meaning of right-turn timing assistance was significant easier for drivers to understand when it was presented with visual interface than auditory interface. Meanwhile, the post-encroachment time value was not smaller than 5 s when the assistance was presented with the haptic, visual and auditory interfaces together, which indicated a small risk of collision with the oncoming vehicles.read more
Citations
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How Should Automated Vehicles Communicate Critical Situations?: A Comparative Analysis of Visualization Concepts
TL;DR: In this paper, the authors present a comparative study in Virtual Reality (N=20) of four visualization concepts and a baseline with Augmented Reality, a Head-Up Display, or Lightbands.
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Familiarity and Complexity during a Takeover in Highly Automated Driving
TL;DR: In this paper, the authors investigated the impact of familiarity and complexity on the time to make an action decision during a takeover task in a highly automated driving scenario and found that the subjective complexity is a mediator variable between objective complexity/familiarity and the decision time.
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Influences of Different Traffic Information on Driver Behaviors While Interacting with Oncoming Traffic in Level 2 Automated Driving
TL;DR: In this paper , the authors evaluated the effects of two kinds of information on driver behaviors while interacting with oncoming vehicles at intersections, of which static information informed drivers of the approaching intersections, and sensor information offered the real-time object detection results of the system to drivers.
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