Analysis of female novice extroversion driver’s eye movement characteristics under anxiety

Fei-Fei Liu,Shi-Jie Liu,Yuan-Yuan Xia,Jun-Yan Han,Ya-Qi Liu,Xiao-Yuan Wang

doi:10.1177/1687814018822183

Abstract

Anxiety is a common emotion of driver, which always affects the safety of driving. Eye movement characteristics can be used to understand the true emotion state of human beings. It is of great significance to study the law of eye movement for realizing active vehicle safety warning and human–machine cooperation. In this article, anxiety-induction experiment, real-vehicle driving experiments, and virtual driving experiments were designed and used to obtain the eye movement data of female novice extroversion driver under calm and anxiety, and mathematical statistics analysis was made on the fixation count, fixation duration, and visit duration in the area of interest within the driver horizon. The results showed that there are significant differences in fixation count and fixation duration of drivers ([Formula: see text], p is the accompanying probability), and the main effect of emotion is significant [Formula: see text].Compared with the situation of calm, fixation area, fixation count, and fixation duration of drivers under anxiety were more focused on the middle area, the fixation count and visit duration on the left area were relatively more, the fixation duration on the right area was relatively longer, and anxiety was more likely to cause driver’s attention bias.

Highlights

With the rapid development of global automobile industry and the popularization of private cars, casualties and property losses caused by traffic congestion[1] and traffic accidents have been increasing year after year
The analysis results from relevant experts on traffic accidents show that more than 90% of the occurred traffic accidents are caused by human,[2] in which more than 70% are caused by driver
The effect of anxiety on attention bias was studied using eye tracking technology by Byrow and Holas,[19,20] and the results showed that eye movement was more focused on sad and happy faces than neutral faces

Summary

Introduction

With the rapid development of global automobile industry and the popularization of private cars, casualties and property losses caused by traffic congestion[1] and traffic accidents have been increasing year after year. The analysis results from relevant experts on traffic accidents show that more than 90% of the occurred traffic accidents are caused by human,[2] in which more than 70% are caused by driver. The eye movement law in the driver’s visual perception process must be studied in order to prevent the occurrence of traffic accidents. Due to the great progress in the field of artificial intelligence and computer technology, the visual search mode of driver was studied by traffic scholars of relevant field in different road environments such as sharp turn section of mountain road,[4] road construction section,[5] tunnel entrance section,[6] tunnel lighting environment,[7].

Methods

Results

Discussion

Conclusion