Policy Capturing to Support Pilot Decision-Making

Alexandre Marois, D. Lafond, Amandine Audouy, Hugo Boronat, P. Mazoyer
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引用次数: 2

Abstract

Abstract. Single-pilot operations are cognitively challenging for pilots and could benefit from decision-support tools to mitigate risk-prone situations. The Cognitive Shadow is a prototype tool that employs policy capturing, a data-driven technique used to model decisions, to learn users’ judgement policies and alert decision discrepancies from one’s decision pattern. This proof-of-concept study investigates the potential of policy capturing to model pilots’ policies facing unstable approaches. Pilots were presented simulated cases and asked whether to continue descent or to go-around while the policy-capturing tool learned their decision pattern and provided feedback. Individual models reached mean predictive accuracy of ~ 89% while the group model reached 100%. These results speak to the potential of extracting pilots’ knowledge using policy capturing to create decision aids.
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政策捕获以支持试点决策
摘要单飞行员操作对飞行员来说是认知上的挑战,可以从决策支持工具中获益,以减轻容易发生的风险。认知阴影是一个原型工具,它采用策略捕获(一种用于建模决策的数据驱动技术)来学习用户的判断策略,并从一个人的决策模式中警告决策差异。这项概念验证研究调查了政策捕获的潜力,以模拟飞行员面对不稳定方法的政策。向飞行员展示了模拟案例,并询问他们是继续下降还是复飞,同时政策捕捉工具了解了他们的决策模式并提供了反馈。个体模型的平均预测准确率达到89%,而群体模型达到100%。这些结果说明了利用政策捕获提取飞行员知识以创建决策辅助工具的潜力。
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