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首页> 外文期刊>International Journal of Human-Computer Interaction >Effects of Non-Driving-Related Task Attributes on Takeover Quality in Automated Vehicles
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Effects of Non-Driving-Related Task Attributes on Takeover Quality in Automated Vehicles

机译:非驾驶相关任务属性对自动车内收购质量的影响

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摘要

This study aimed to investigate the effects of non-driving-related tasks (NDRTs) on takeover quality in the context of automated driving. Specifically, we examined the effects of three categories of NDRT attributes (i.e., physical, cognitive, and visual) on longitudinal and lateral driving measures when the drivers resumed control. We designed a driving simulator study where the participants experienced automated driving journeys and takeover situations. When the automated mode was activated, drivers engaged in one of the nine NDRTs. The results showed that the cognitive load of NDRTs had a significant negative correlation with both longitudinal and lateral control measures. However, the effects of two attributes in the physical category and one attribute in the visual category on driving performance did not show statistical significance. Overall, the findings indicated that the influence of cognitive attributes on takeover quality is more salient than that of the physical and visual attributes, which provides insights into the understanding of takeover situations to improve driving safety.
机译:本研究旨在在自动驾驶范围内调查非驾驶相关任务(NDRTS)对收购质量的影响。具体而言,我们在驱动器恢复控制时检查了三类NDRT属性(即,物理,认知和视觉)对纵向和横向驱动措施的影响。我们设计了一个驾驶模拟器研究,参与者经历了自动化的驾驶旅程和收购情况。当自动模式激活时,驾驶员从事九个NDRT中的一个。结果表明,NDRT的认知载荷与纵向和横向控制措施具有显着的负相关性。然而,在驾驶性能上的视觉类别中的两个属性在物理类别和一个属性中的影响没有显示出统计显着性。总的来说,调查结果表明认知属性对收购质量的影响比物理和视觉属性更突出,这提供了对接管情况来改善驾驶安全性的理解的见解。

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