Interference Effects of Modality and Workload on Attentional Driving

• Main Authors: Chang, Yao-Lung, 張耀隆
• Other Authors: Lin, Chin-Teng
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/u7bk6d

碩士 === 國立交通大學 === 生醫工程研究所 === 104 === The distractive driving is one of the main results cause the car accidents. According to the research in the past, different level of workloads and different kind of modalities make effect on the drivers’ distraction, but the interaction between these two types were still unknown. Therefore, this study combined the lane deviation with target detection tasks. By adjusting the number of and the occurrence of stimulus to explore how the workload and the modality affect the driving performance. On the basis of the study, the drivers’ behavior gets worse with the increasing of workload. Moreover, the auditory interference had a great effect on the reaction time of manipulating the vehicles under the high workload condition. By analyzing the brain dynamics data, the frontal theta band (4-7 Hz) had no difference with the ascending of the workload. The obviously decrease of frontal beta power band showed when the drivers switched the attention form visual task to the auditory task. The recession of the response time also has connection with the change of different modalities. In addition, visual interference can activate the low gamma (30-50 Hz) power band network from frontal to the occipital, so the drivers can deal with the visual information more efficiently. Besides, the networks of occipital gamma and alpha band was not apparent while auditory interference showed up. The phenomenon can indicate that the inactivation of these brain region may reduce of the drivers’ ability to make response to the car deviation, it could be the main reason which causes the drivers’ response time in auditory task was longer than the visual one. Furthermore, with the eye movement data, we discovered that there are some connection between workload, response time and the brain dynamics, but we have to find more evidence to prove it. According to this study, we will not only know the brain mechanism of the distraction driving, but also find out the related index to predict the behavior while they are distractive.