避免自动化惊喜:确定支持飞行员干预自动化无人机 (UAV) 飞行的要求
Ben Grindley1, Katie Phillips2, Katie J Parnell3
1Transportation Research Group, Boldrewood Innovation Campus, University of Southampton, UK; Defence Science and Technology Laboratory (Dstl), Salisbury, UK.
Applied ergonomics
|April 4, 2025
概括
在无人机 (UAV) 操作中的飞行员干预对于安全至关重要. 使用T-SWARM的研究揭示了信息显示和信任方面的挑战,影响决策和运营效率.
科学领域:
- 航空 人类因素 人类因素
- 自动化和控制系统自动化和控制系统
- 无人驾驶飞行器 (UAV) 操作操作
背景情况:
- 无人机 (UAV) 运营正在迅速扩大,这给自动化设计和决策支持带来了重大挑战.
- 在高度自动化的无人机系统中,飞行员的干预对于管理意外事件和确保运营安全至关重要.
研究的目的:
- 确定与高自动化无人机 (UAV) 操作中的试点干预相关的挑战和问题.
- 探索信息显示和信任对飞行员决策和无人机干预的影响.
- 为提高无人机操作的安全性和运营效率提供建议.
主要方法:
- 使用了Schema World行动研究方法 (T-SWARM),这是感知周期模型 (PCM) 的信任衍生版本.
- 与9名经验丰富的无人机飞行员进行了半结构化采访,他们操作中型到大型无人机.
- 分析了无人机操作期间由飞行员发起和系统发起的干预的试点账户.
主要成果:
- 编码的响应显示了显示信息在飞行员决策的类型,呈现和影响方面的重大挑战.
- 确定了影响对无人机自动化信任的关键因素,包括个人倾向和情感因素.
- 突出了自动化对试点干预策略和决策过程的影响.
结论:
- 这项研究证实了T-SWARM在航空和无人机领域获得知识的实用性.
- 建议建议改进信息显示和培养适当的信任,以提高无人机的安全性和效率.
- 解决信息呈现和信任方面的挑战对于自动化无人机系统的有效试点干预至关重要.
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