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

机译：接管请求后的注意动态：高度自动化车辆中的移交辅助系统的需求

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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：高度自动化的车辆中的驾驶员将经常转换回手动驾驶。在自动驾驶过程中执行非驾驶相关任务（NDRT）的驾驶员通常能够停用自动系统。接管请求后平均3-6秒（例如Vogelpohl等人2018a）。但是，接管时间不一定应视为接管质量的衡量标准（例如Gold等人2016）。在复杂的情况下，驾驶员可能倾向于忽略优先级较低的子任务（例如Richard等，2006）。因此，在接管请求后，驾驶员可能会在停用自动化系统后不确定驾驶现场安全相关区域的状态。这种不确定性可以被描述为情境意识的下降（参见Johnson等人2017）。我们目前的研究表明，驾驶员接管请求后，由于对较低优先级的子任务（例如，照镜子和车速表）的延迟视觉关注，他们在恢复态势意识方面可能会很慢。我们讨论了为什么在自动驾驶系统的设计中应该考虑接管请求后驾驶员的注意力动态（注意力转移的方式和时间;参见Lee，2014年）。未来的自动驾驶系统不仅应考虑驾驶员停用自动化需要花费多长时间，而且还应考虑驾驶员如何转换回手动驾驶的过程。如果驾驶员忽略了过渡阶段，则引导过渡可以确保减少过渡到手动驾驶过程中的不确定性，并确保尽快，高效地重新获得过渡后的态势感知。

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