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Investigating the Effects of Visuospatial Memory Secondary Tasks on LCT Driving Performance

机译:研究视觉空间记忆辅助任务对LCT驾驶性能的影响

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摘要

Memory demand is associated with increased mental workload. The objective of the present study was to examine the effects of visuospatial memory secondary tasks on driving performance. Memory tasks for the unknown word-figure pairs and recognition tasks for word-figure pairs at two-level difficulties were employed separately to represent working memory's process and long-term memory's process. A simulator study was conducted based on the simulation of the standard environment of Lane change test (LCT). The performance of lane keeping, lane change, and secondary tasks was measured by statistical methods. The comprehensive appraisal model was constructed to quantify total driving performance. The results showed that the mean path deviation, steering angle, and lane excursion times increased, and the proportion of correct lane change decreased, with the perceived workload increasing and the total driving performance decreasing in dual-task driving condition. Compared with the simple working memory group, as the difficulty of tasks increased in difficult working memory group, lane change performance degraded and the perceived workload increased. In contrast to difficult working memory group, the performance of lane keeping and lane change increased, while the perceived workload decreased and the total performance increased by about 50% in difficult recognition group. There were few differences between the simple working memory group and simple recognition group. The difficult working memory group had the lowest total driving performance. The results indicate that as the secondary task's difficulty increases, driving performance will degrade. Performance improves significantly when the working memory process is converted to the recognition process. This trend is more obvious when the memory task assumes to be more difficult.
机译:内存需求与精神工作量增加有关。本研究的目的是检查视觉空间记忆辅助任务对驾驶性能的影响。分别采用两级难度的未知字形对的记忆任务和字形对的识别任务分别表示工作记忆和长期记忆的过程。在对车道变更测试(LCT)的标准环境进行仿真的基础上进行了模拟器研究。通过统计方法测量车道保持,车道变更和次要任务的性能。构建了综合评估模型以量化总体驾驶性能。结果表明,在双工驾驶条件下,随着感知的工作量增加,总驾驶性能下降,平均路径偏差,转向角和车道偏移时间增加,正确的车道改变比例减少。与简单工作记忆组相比,随着困难工作记忆组任务难度的增加,换道性能下降,工作量增加。与困难的工作记忆组相比,在困难识别组中,车道保持和车道变更的性能增加,而感知的工作量减少,总性能增加约50%。简单工作记忆组和简单识别组之间几乎没有差异。困难的内存组的总行驶性能最低。结果表明,随着次要任务难度的增加,驾驶性能将下降。当工作记忆过程转换为识别过程时,性能将大大提高。当存储任务被认为更加困难时,这种趋势更加明显。

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