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Evaluating effects of workload on trust in automation, attention allocation and dual-task performance

机译:评估工作负载对自动化,注意力分配和双任务性能信任的影响

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This study aimed to examine how workload and automation aid type affected operators’ trust in automation, attention allocation and dual-task performance. With a simulated surveillance task, participants monitored the picture steaming from an unmanned ground vehicle (UGV) while planning the paths of two unmanned aerial vehicles (UAVs). The analysis of experimental results indicated that workload affected operators’ attention allocation and dual-task performance, but not their trust in automation. As workload increased, attention allocation on the automated task decreased and on the concurrent task increased. Moreover, an increasing workload led to longer response time for the automated task. For the concurrent task, higher workload harmed task performance accuracy but resulting in shorter response time.
机译:这项研究旨在研究工作量和自动化辅助类型如何影响操作员对自动化,注意力分配和双任务性能的信任。通过模拟监视任务,参与者在计划两架无人飞行器(UAV)的路径时,监视了无人飞行器(UGV)产生的图像。对实验结果的分析表明,工作负载会影响操作员的注意力分配和双任务性能,但不会影响他们对自动化的信任。随着工作量的增加,对自动任务的注意力分配减少,而对并行任务的注意力分配增加。此外,工作量的增加导致自动化任务的响应时间更长。对于并发任务,较高的工作量会损害任务性能的准确性,但会缩短响应时间。

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