基于高频桌面式眼动仪的驾驶人视觉注意特性研究  

Research on Visual Attention Characteristics of Drivers Based on High-frequency Desktop Eye Tracker

作　　者：侯瑀 刘东 HOU Yu;LIU Dong(College of Transportation Management,People’s Public Security University of China,Beijing 100038,China)

机构地区：[1]中国人民公安大学交通管理学院,北京100038

出　　处：《辽宁警察学院学报》2025年第2期97-103,共7页Journal of Liaoning Police College

基　　金：国家重点研发计划“重大自然灾害防控与公共安全”专项“道路交通事故数字化深度调查技术”项目课题二“基于多源数据的辅助驾驶汽车操控行为解析技术研究”(2023YFC3009702)。

摘　　要：近年来,我国驾驶人年龄结构不断变化,道路交通环境日趋复杂,确保驾驶人具备安全的驾驶能力尤为重要。本研究采取文献研究法、数理统计法及描述性研究法,通过眼动仪实验获取40名机动车驾驶人的眼动行为数据,并运用SPSS软件和Origin软件进行分析,研究年龄、光强度对驾驶人视觉注意特性的影响。研究结果表明:老年驾驶人与中青年驾驶人相比对交通信息的感知与认知能力下降;光强度变弱导致驾驶人的风险发现和判断能力下降,且老年驾驶人受影响程度更大。In recent years,the age structure of drivers in China has been continuously changing,and the road traffic environment has become increasingly complex.Ensuring that drivers possess safe driving skills is particularly important.This study adopts literature research,mathematical statistics and descriptive research methods to obtain eye movement behavior data of 40 motor vehicle drivers through eye tracker experiments.SPSS software and Origin software are used for analysis to study the effects of age and light intensity on drivers'visual attention characteristics.The research results indicate that elderly drivers have a decrease in their perception and cognitive abilities towards traffic information compared to middle-aged and young drivers;weakening the intensity of light can lead to a decrease in drivers’risk detection and judgment abilities,and older drivers are more affected.

关 键 词：视觉注意特性 注视行为 扫视行为 高频桌面式眼动仪 

分 类 号：D918.2[政治法律—法学]