首页> 外文期刊>International Journal of Mobile Human Computer Interaction >Attentive User Interfaces to Improve Multitasking and Take-Over Performance in Automated Driving: The Auto-Net of Things
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Attentive User Interfaces to Improve Multitasking and Take-Over Performance in Automated Driving: The Auto-Net of Things

机译:细心的用户界面,可改善自动驾驶中的多任务处理和接管性能:物联网自动

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摘要

Automated vehicles promise engagement in side activities, but demand drivers to resume vehicle control in Take-Over situations. This pattern of alternating tasks thus becomes an issue of sequential multitasking, and it is evident that random interruptions result in a performance drop and are further a source of stress/anxiety. To counteract such drawbacks, this article presents an attention-aware architecture for the integration of consumer devices in level-3/4 vehicles and traffic systems. The proposed solution can increase the lead time for transitions, which is useful to determine suitable timings (e.g., between tasks/subtasks) for interruptions in vehicles. Further, it allows responding to Take-Over-Requests directly on handheld devices in emergencies. Different aspects of the Attentive User Interface (AUI) concept were evaluated in two driving simulator studies. Results, mainly based on Take-Over performance and physiological measurements, confirm the positive effect of AUIs on safety and comfort. Consequently, AUIs should be implemented in future automated vehicles.
机译:自动驾驶汽车承诺参与辅助活动,但要求驾驶员在接管情况下恢复对汽车的控制。因此,这种交替任务的模式成为顺序多任务处理的问题,很明显,随机中断会导致性能下降,并且进一步成为压力/焦虑的根源。为了克服这些缺陷,本文提出了一种用于将消费者设备集成到3/4级车辆和交通系统中的注意力感知体系结构。所提出的解决方案可以增加过渡的提前时间,这对于确定车辆中断的合适时机(例如,任务/子任务之间的时间)很有用。此外,它允许在紧急情况下直接在手持设备上响应接管请求。在两项驾驶模拟器研究中评估了殷勤用户界面(AUI)概念的不同方面。主要基于接管性能和生理测量结果,证实了AUI对安全性和舒适性的积极影响。因此,应在未来的自动驾驶汽车中实施AUI。

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