摘要
目的探索基于音乐属性类别和驾驶人特性的交互影响,研究驾驶行为的眼动和脑电指标证据是否有效。方法采用元分析方法综合评价眼动和脑电技术在研究音乐和驾驶人的行为关系中的作用。结果音乐中节奏属性对驾驶行为影响最大;实车研究效果比模拟舱研究更加显著;驾驶经验在音乐与驾驶行为中有显著作用。结论音乐属性对不同驾驶经验的驾驶行为有影响,尤其在实车驾驶环境中更为显著。
Objective Based on the interactive effects of music categories and driver characteristics,this paper studies whether the evidence of eye movement and EEG indicators of driving behavior is valid.Methods A meta-analysis method was used to evaluate the role of eye movement and EEG in studying the relationship between music and driving.Results The results showed that music rhythm had the greatest effect on driving.The effect of real vehicles was more significant than that of simulation cabins;Driving experience plays a significant role in music and driving.Conclusion Music attributes influence different driving experiences,especially in real driving rather than the simulation study.
作者
郑新夷
康良凯
ZHENG Xin-yi;KANG Liang-kai(College of Humanities and Social Sciences,Fuzhou University,Fuzhou 350108,China)
出处
《人类工效学》
2023年第1期44-49,共6页
Chinese Journal of Ergonomics
基金
2021年福建省社科基金项目(FJ2021B063)。
关键词
交通安全
人机交互
音乐属性
驾驶行为
元分析
眼动
脑电
事故预防
traffic safety
man—machine interaction
music attributes
driving behavior
Meta analysis
Eye movement
EEG
accident prevenfion
