了解无人机操作培训中的团队适应意想不到的事件
Manuel Lombardi1, Rogier Woltjer2, Riccardo Patriarca1
1Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy.
Ergonomics
|January 22, 2026
概括
这项研究分析了模拟无人机操作中的人类表现,使用系统团队工作事件分析方法揭示了程序和实际训练之间的适应性行为和差异.
科学领域:
- 人与计算机的互动.
- 认知系统工程 认知系统工程
- 先进的空中机动性 (AAM)
背景情况:
- 了解人类的适应性对于设计复杂的系统至关重要,如先进的空中移动 (AAM).
- 模拟无人机操作提供了一个研究人类性能变化的平台.
- 系统团队工作事件分析 (EAST) 方法用于分析团队互动.
研究的目的:
- 在模拟无人机操作中检查人类性能变化.
- 为了比较Work-As-Instructed (WAIn) 和Work-As-Trained (WAT) 的模型.
- 识别标准操作程序 (SOP) 与实习生实际行为之间的差异.
主要方法:
- 使用了系统团队工作事件分析 (EAST) 方法.
- 基于标准操作程序 (SOPs) 构建 WAIn EAST 网络.
- 从通信日志和模拟无人机训练的音频录音开发了WAT网络,专注于鸟类袭击事件.
主要成果:
- 在训练员团队中确定了适应性行为倾向.
- 揭示了WAIn和WAT模型之间的任务-知识-代理合中的差异.
- 使用新的联合认知网络可变性矩阵可视化这些差异.
结论:
- 捕捉学员的行为,包括任务,知识和社交互动,对于理解新兴技术的性能是有价值的.
- 在模拟的AAM环境中,EAST方法有效地突出了与标准操作程序的偏差.
- 这些发现有助于在AAM中设计和培训人类-人工智能组合.
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