Task-Allocation Decisions of Human-UAS Collaboration: Effects of Workload, Trust, and Self-confidence.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2024-09-01 Epub Date: 2024-08-13 DOI:10.1177/10711813241274652

Yining Elena Zhang, Jing Chen, Liang Sun, Bin Hu, Michael S Politowicz, Eric T Chancey

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Abstract

Uncrewed Aerial Systems (UAS) show promise in urban air transport, package delivery, and emergency services. UAS efficiency can be significantly improved by having multiple operators (m) managing a greater number of vehicles (N), or the m:N architecture of operation. The current study investigates how workload affects operators' task-allocation decision-making and the potential mediating effects of two crucial human factors, trust and self-confidence. In the context of a simulated UAS package-delivery task under the m:N architecture, two groups of participants with different levels of expertise in UAS operation will be recruited: UAS pilots and university students. Each participant will watch two sets of videos with different work-load manipulations and report their preferred task-allocation strategy for various subtasks. Measures of perceived workload, trust, and self-confidence will be conducted after each video session. Findings will inform optimizing task-allocation designs for UAS missions, considering operators' decision-making needs and expertise disparities.

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人-无人机协作的任务分配决策：工作量、信任和自信的影响。

无人驾驶航空系统（UAS）在城市航空运输、包裹递送和紧急服务方面显示出前景。通过让多个操作员(m)管理更多数量的车辆(N)，或者采用m:N的操作架构，可以显著提高无人机系统的效率。本研究探讨了工作负荷如何影响作业人员的任务分配决策，以及信任和自信这两个关键人为因素的潜在中介作用。在m:N架构下模拟UAS包裹递送任务的背景下，将招募两组具有不同UAS操作专业知识水平的参与者：UAS飞行员和大学生。每个参与者将观看两组不同工作负载操作的视频，并报告他们对不同子任务的首选任务分配策略。每次视频会议结束后，将进行感知工作量、信任和自信的测量。考虑到运营商的决策需求和专业知识差异，研究结果将为UAS任务的优化任务分配设计提供信息。

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Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting

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