THE IMPACT OF ROAD COMPLEXITYON THE PSYCHOPHYSIOLOGICAL LOAD EXPERIENCED BY CAR DRIVERS USING ELECTROENCEPHALOGRAPHY (EEG) MEASUREMENT OF BRAINWAVES

IF 1 Q4 PSYCHOLOGY
S. Sugiono, W. Denny, D. P. Andriani
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引用次数: 7

Abstract

A driver’s mental and physical states while driving on hazardous roads significantly determine the incident of traffic accident. The objectives of this paper are to analyze the impact of road complexity on the psychophysiological load experienced by drivers through the use of Electroencephalography (EEG). Three conditions were examined through driving simulation, namely motorway, rural road, and city road. The data were collected from three respondents (drivers) who had different driving experiences, including < 3 years, 3 to 5 years, and > 5 years. Besides, each respondent would go through two tests with different situations: a normal situation and interfered situation (noises). The tool used was Emotive EPOC neuroheadset with 5 channels (electrode) which represent brain parts, such as the frontal (AF3 and AF4), temporal (T7 and T8), and parietal/occipital Pz. The simulation test results show that the beta signal for the motorway road situation in the occipital lobe, which functioned as visual, is more dominant compared to electrodes in other parts. Meanwhile, data from the rural road and the city road indicate a strong signal of emotions and visuals. In addition, based on the metrics performance result, the drivers’ level of stress reached its highest on the city road, as much as 45, followed by the rural road = 44 and the motorway = 42. While for the concentration index, the city road achieved 47, the rural road = 50 and the motorway = 53. EEG can be used as the basis for drivers performance assessment within different road situations so that the alert system for drivers can be engineered better.
利用脑电图(eeg)测量脑电波研究道路复杂性对汽车驾驶员心理生理负荷的影响
驾驶员在危险道路上驾驶时的精神状态和身体状态对交通事故的发生有着重要的决定作用。本文的目的是通过使用脑电图(EEG)分析道路复杂性对驾驶员所经历的心理生理负荷的影响。通过驾驶模拟考察了高速公路、农村道路和城市道路三种工况。数据收集自3名不同驾驶经验的受访者(司机),包括< 3年,3至5年和bb50年。此外,每个被调查者将经历两种不同情况的测试:正常情况和干扰情况(噪音)。使用的工具是Emotive EPOC神经耳机,有5个通道(电极),代表大脑的部分,如额叶(AF3和AF4),颞叶(T7和T8)和顶叶/枕叶Pz。模拟实验结果表明,在具有视觉功能的枕叶中,高速公路路况的β信号比其他部位的电极更占优势。同时,农村道路和城市道路的数据显示出强烈的情感和视觉信号。此外,从指标绩效结果来看,驾驶员的压力水平在城市道路上最高,达到45,其次是农村道路= 44,高速公路= 42。而城市公路的集中度指数为47,农村公路为50,高速公路为53。EEG可以作为不同路况下驾驶员行为评估的依据,从而更好地设计驾驶员预警系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.50
自引率
42.90%
发文量
8
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