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首页> 外文会议>GMM-Fachtagung Automotive meets Electronics >Non-driving related tasks in highly automated driving - Effects of task modalities and cognitive workload on take-over performance
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Non-driving related tasks in highly automated driving - Effects of task modalities and cognitive workload on take-over performance

机译：非自动化驾驶中的非驾驶相关任务 - 任务方式和认知工作量对接收性能的影响

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In highly automated driving, the driver is allowed to temporarily engage in non-driving related tasks (NDR-tasks). However, when reaching a system limit, the driver needs to take back vehicle control within a reasonable amount of time. Previous studies found impairments in take-over performance while engaged in NDR-tasks, but little is known about the impact of specific task characteristics. In the present driving simulator study 14 participants used a highly automated driving system on a motorway track and faced six critical take-over situations. Based on assumptions of Wickens' multiple resource theory [1] different variables were systematically manipulated: The demands of the NDR-task (modalities, cognitive workload) and the time budget of the take-over situation (6 vs. 8 s). Compared to an auditory task, take-over times tended to be longer for a visual-manual task, particularly when the task had a high cognitive load. Drivers did not brake faster, but stronger in the more time critical take-over situation. Further research is necessary to validate the results with a larger sample of participants and to extend the findings to other NDR-tasks and scenarios. Knowledge about the impact of different NDR-tasks provides possible approaches for adaptive HMI concepts or might help regulators making decisions on allowed NDR-tasks in automated driving.
机译：在高度自动化驾驶中，允许驾驶员暂时接合非驾驶相关任务（NDR-TASK）。但是，在达到系统限制时，驾驶员需要在合理的时间内回滚车辆控制。以前的研究发现在参与NDR-TASK的同时发现损伤，但关于特定任务特征的影响很少。在目前的驾驶模拟器研究中，14名参与者在高速公路轨道上使用了高度自动化的驾驶系统，并面临了六个关键的占用情况。基于Wignens的多元资源理论的假设[1]系统地操纵不同的变量：NDR-Task（模当，认知工作量）和接收情况的时间预算的需求（6 vs. 8 s）。与听觉任务相比，接管时间趋于更长的视觉手动任务，特别是当任务具有高认知负载时。司机没有更快地刹车，但在越来越严重的接管情况下更强大。进一步的研究是有必要使用更大的参与者验证结果，并将调查结果扩展到其他NDR任务和方案。关于不同NDR-TASK的影响的知识为Adaptive HMI概念提供了可能的方法，或者可以帮助监管机构在自动驾驶中允许的NDR任务做出决策。

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