Summary
International Conference on Emerging Technologies for Communications
2023
Session Number:P2
Session:
Number:P2-14
Evaluation of factors to reduce visual cognitive load for drivers in VR-CAR
Sawato Taki, Ryoto Kato, Takashi Nishitsuji, Takuya Asaka,
pp.-
Publication Date:2023/11/29
Online ISSN:2188-5079
DOI:10.34385/proc.79.P2-14
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Summary:
For traffic safety, visual perception is important because drivers need to make correct judgments and operations while driving.
In addition, there are several visual tasks that may cause drivers mental fatigue.
Mental fatigue is a condition caused by prolonged mental activities that require work efficiency, such as driving, and is the cause of 20% ~ 30% of traffic accidents.
On the other hand, a virtual driving environment called VR-CAR [1], which realizes an ''ordered'' driving environment, has been proposed for reducing visual cognitive load.
Kato et al. demonstrated the effectiveness of the ordering method by improving the ease of driving in the ordered environment of VR-CAR in a subjective evaluation and increasing electroencephalogram (EEG) in a relaxed state.
However, since several factors such as the color, shape, and presence/absence of objects were changed in the ordered environment of Kato et al., it was unclear which factors reduced the visual cognitive load.
Therefore, in this study, we evaluated the factors that reduce the visual cognitive load in VR-CAR by changing the factors such as presence and colors of buildings.