实验证明同时操控多架无人机不会降低飞行员表现。
OSU-Wing PIC Phase I Evaluation: Baseline Workload and Situation Awareness Results
- 通过控制无人机数量与任务巢点数，测试飞行员在多种条件下的表现。
- 无论无人机数量如何变化，飞行员工作负荷与态势感知水平均无显著差异。
- 研究结果挑战了传统观点，适合人机协同与无人机群管理领域参考。
普遍认为，当人类飞行员需负责更多无人航空系统（UAS）时，其表现会下降。这一观点源于2010年代初针对地面机器人的研究，不适用于高自主性无人机。已有研究表明，提升自主性可缓解多机操作带来的性能影响。本研究由俄勒冈州立大学与Wing公司合作开展，旨在探究影响飞行员维持责任与控制能力的关键因素。第一阶段评估建立了以无人机数量和任务巢点数为变量的基准数据，涵盖常规运行、有人机相遇及恶劣天气等情境。结果显示，飞行员始终处于高度投入状态，态势感知良好；调整实验条件后，整体工作负荷未出现显著差异。总体结论推翻了‘无人机数量增加必然损害飞行员表现’的传统理论。
原文摘要 · Abstract (English)
The common theory is that human pilot's performance degrades when responsible for an increased number of uncrewed aircraft systems (UAS). This theory was developed in the early 2010's for ground robots and not highly autonomous UAS. It has been shown that increasing autonomy can mitigate some performance impacts associated with increasing the number of UAS. Overall, the Oregon State University-Wing collaboration seeks to understand what factors negatively impact a pilot's ability to maintain responsibility and control over an assigned set of active UAS. The Phase I evaluation establishes baseline data focused on the number of UAS and the number of nests increase. This evaluation focuses on nominal operations as well as crewed aircraft encounters and adverse weather changes. The results demonstrate that the pilots were actively engaged and had very good situation awareness. Manipulation of the conditions did not result in any significant differences in overall workload. The overall results debunk the theory that increasing the number of UAS is detrimental to pilot's performance.
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