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Engaging in NDRTs affects drivers' responses and glance patterns after silent automation failures

机译:静默自动化失败后,参与NDRT会影响驾驶员的响应和扫视模式

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The aim of this study was to understand driver responses to "silent" failures in automated driving, where automation failed during a simulator drive, without a take-over warning. The effect of a visual non-driving related task (NDRT) and a road-based vigilance task presented drivers' take-over response and visual attention was also investigated. Currently, automated driving systems face a number of limitations that require control to be handed back to the driver. Much of the research to date has focused on explicit take-over requests (ToRs) and shows that drivers struggle to resume control safely, exacerbated by disengagement from the driving task, for instance, due to the presence of NDRTs. However, little is known about whether, and how, drivers will respond to more subtle automation failures that come without a warning, and how this is affected by NDRT engagement. Thirty participants drove a simulated automated drive in two conditions, which had 6 silent automation failures each (3 on a Curve, 3 in a Straight), with no ToRs. In one condition, drivers were required to constantly monitor the road, which was enforced by a road-based vigilance task (VMS Only). In the other, drivers performed an additional visual NDRT, requiring them to divide their attention (VMS + Arrows). Results showed that, in both conditions, all drivers eventually detected and responded to all silent automation failures. However, engaging in an additional NDRT during automation resulted in significantly more lane excursions and longer take-over times. Adding a visual NDRT not only changed the distribution of drivers' visual attention before and after the failure but also how they divided their attention between information on the road environment and the human-machine interface, which provided information on automation status. These results provide support for how driver monitoring systems may be used to detect drivers' visual attention to the driving task and surroundings, and used as a tool for encouraging driver intervention, when required. (C) 2019 Elsevier Ltd. All rights reserved.
机译:这项研究的目的是了解驾驶员对自动驾驶中“无声”故障的反应,在模拟器驾驶过程中自动驾驶失败,并且没有接管警告。视觉非驾驶相关任务(NDRT)和基于道路的警戒任务对驾驶员接管反应和视觉注意力的影响也进行了调查。当前,自动驾驶系统面临许多限制,需要将控制权交还给驾驶员。迄今为止,许多研究都集中在明确的接管请求(ToR)上,并且表明驾驶员难以安全地恢复控制,例如由于NDRT的存在,驾驶员脱离了驾驶任务而加剧了安全感。但是,对于驱动程序是否以及如何响应未发出警告的更多细微的自动化故障以及NDRT的参与如何影响,鲜为人知。 30名参与者在两种情况下驾驶模拟自动驱动器,每种情况都有6次无声自动化故障(曲线上3次,直线上3次),没有ToR。在一种情况下,要求驾驶员不断监控道路,这是基于道路的警戒任务(仅VMS)实施的。另一方面,驾驶员执行了附加的视觉NDRT,要求他们分散注意力(VMS +箭头)。结果表明,在两种情况下,所有驱动程序最终都会检测到所有静默自动化故障并做出响应。但是,在自动化过程中使用额外的NDRT会导致更多的车道偏移和更长的接管时间。添加可视化NDRT不仅改变了驾驶员在故障前后的视觉注意力分布,而且改变了驾驶员在道路环境信息和人机界面之间的注意力分配方式,从而提供了自动化状态信息。这些结果为驾驶员监控系统如何用于检测驾驶员对驾驶任务和周围环境的视觉注意提供了支持,并在需要时用作鼓励驾驶员干预的工具。 (C)2019 Elsevier Ltd.保留所有权利。

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