首页> 外文会议>International Conference on HCI in Mobility, Transport, and Automotive Systems >Attentional Dynamics After Take-Over Requests: The Need for Handover Assistance Systems in Highly Automated Vehicles
【24h】

Attentional Dynamics After Take-Over Requests: The Need for Handover Assistance Systems in Highly Automated Vehicles

机译:接收要求后的注意力动力:在高度自动化车辆中对切换辅助系统的需求

获取原文

摘要

Drivers in highly automated vehicles will frequently transition back to manual driving. Drivers performing Non-Driving Related Tasks (NDRTs) during automated driving are generally capable of deactivating automated systems approx. 3-6 s on average after a take-over request (e.g. Vogelpohl et al. 2018a). However, take-over time should not necessarily be considered a measure of take-over quality (e.g. Gold et al. 2016). In complex situations drivers may be prone to neglect lower priority sub-tasks (e.g. Richard et al. 2006). After take-over requests drivers may therefore be uncertain about the status of safety-relevant areas in the driving scene after they have deactivated the automation. This uncertainty can be characterized as a reduction in situation awareness (c.f. Johnson et al. 2017). We present research which shows that drivers may be slow to rebuild situation awareness after take-over requests based on delayed visual attention to lower priority sub-tasks such as looking at the mirror and looking at the speedometer. We discuss why we believe drivers' attentional dynamics (how and when attention is shifted; c.f. Lee 2014) after take-over requests should be taken into account for the design of automated driving systems. Future automated driving systems should consider not only how long a driver takes to deactivate the automation, but also take into account the process of how the driver transitions back to manual driving. If a driver neglects stages of the transition, a guided transition could ensure that uncertainty during the transition to manual driving is reduced and that situation awareness after the transition is regained as quickly and as efficiently as possible.
机译:高度自动化车辆的司机经常过渡返回手动驾驶。在自动化驾驶期间执行非驾驶相关任务(NDRT)的驱动程序通常能够停用自动系统。 3-6 S平均在接管要求后(例如Vogelpohl等。2018A)。然而,接收时间不应被视为衡量超额质量的衡量标准(例如,Gold等,2016)。在复杂的情况下,司机可能易于忽视较低的优先权子任务(例如Richard等,2006)。因此,在取消自动化之后,接收要求驱动程序可能不确定驾驶场景中的安全相关区域的状态。这种不确定性可以表征为局面意识的减少(C.F.Jownson等,2017)。我们展示了研究表明,基于延迟的视觉关注在较低的优先级的子任务中,驾驶员在接收要求之后,驾驶员在接收要求之后,驾驶员可能会缓慢的研究。我们讨论为什么我们相信司机的注意力动态(如何以及当关注转移时; C.F. Lee 2014)应考虑到自动化驾驶系统的设计后。未来的自动化驾驶系统不仅考虑驱动程序停用自动化的长度,而且还考虑到驾驶员转换回手动驾驶的过程。如果驾驶员忽略过渡的阶段,则引导过渡可以确保在过渡到手动驱动期间的不确定性,并且在过渡之后的情况感知尽可能快速地重新获得。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号