摘要
目的研究不同风险感知效用驾驶人注视行为及特性的异同。方法采用聚类分析法,将不同风险感知效用值的驾驶人分为保守型、中间型、激进型、复合型四类,通过BeGaze3.5眼动数据分析软件提取被试者注视数据;研究确定被试驾驶人的注视次数、注视时间为本次论文的研究的对象,最后分析平均注视次数、每次注视时间两项指标差异性。结果不同风险感知效用类型驾驶人的注视行为及特性有明显差异。结论不同风险感知效用的驾驶人其注视行为有明显的差异,注视行为是驾驶行为过程获取信息最重要的手段,因此通过对不同风险效用驾驶人注视行为的研究,可以进一步规范驾驶员的驾驶行为,减少交通事故的发生。
Objective To investigate the similarities and differences in gaze behavior and characteristics among drivers with different risk perception utilities.Methods Cluster analysis was employed to classify drivers into four categories based on their risk perception utilities:conservative,intermediate,aggressive,and composite.Eye-tracking data from participants were collected using BeGaze3.5 software,focusing on the number of fixations and duration of fixations as the primary research variables.Subsequently,the differences in average number of fixations and fixation duration among the categories were analyzed.Result tThe results revealed significant variations in gaze behavior and characteristics among drivers belonging to different risk perception utility groups.Conclusion Drivers with distinct risk perception utilities exhibit marked differences in their gaze behavior,which serves as a crucial means of information acquisition during the driving process.Therefore,by studying the gaze behavior of drivers with varying risk perception utilities,we can further standardize driving behavior and contribute to reducing traffic accidents.
作者
许文利
徐松
张盛
XU Wen-li;XU Song;ZHANG Sheng(Kunming Railway Vocational and Technical College,Kunming,Yunnan 650500,China)
出处
《人类工效学》
2025年第1期40-43,49,共5页
Chinese Journal of Ergonomics
基金
昆明铁道职业技术学院科学研究基金项目(K202402Z)。
关键词
驾驶行为
交通安全
风险感知
注视
驾驶人
聚类分析
眼动数据
事故预防
driving behavior
traffic safety
risk perception
gaze
driver
cluster analysis
eye-tracking data
accident prevention
作者简介
许文利(1988-),男,山西大同人,硕士研究生,研究方向:驾驶行为与心理,城市轨道交通运营管理,(电话)18487173562,(电子邮箱)234439875@qq.com。
