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Predicting design induced pilot error using HET (human error template) - a new formal human error identification method for flight decks

机译:使用HET(人为错误模板)预测设计引起的飞行员错误-一种新的驾驶舱正式人为错误识别方法

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摘要

Human factors certification criteria are being developed for large civil aircraft with the objective of reducing the incidence of designinduced error on the flight deck. Many formal error identification techniques currently exist which have been developed in nonaviation contexts but none have been validated for use to this end. This paper describes a new human error identification technique (HET - human error template) designed specifically as a diagnostic tool for the identification of design-induced error on the flight deck. HET is benchmarked against three existing techniques (SHERPA - systematic human error reduction and prediction approach; human error HAZOP - hazard and operability study; and HEIST - human error In systems tool). HET outperforms all three existing techniques in a validation study comparing predicted errors to actual errors reported during an approach and landing task in a modern, highly automated commercial aircraft. It is concluded that HET should provide a useful tool as a adjunct to the proposed hliman factors certification process.
机译:正在为大型民用飞机制定人为因素认证标准,目的是减少驾驶舱上设计引起的错误。当前存在许多正式的错误识别技术,这些技术已在非航空领域开发,但尚未经过验证可用于此目的。本文介绍了一种新的人为错误识别技术(HET-人为错误模板),该技术专门设计为用于识别驾驶舱设计引起的错误的诊断工具。 HET针对三种现有技术进行了基准测试(SHERPA-系统化的人为错误减少和预测方法;人为错误HAZOP-危害和可操作性研究; HEIST-系统中的人为错误工具)。在现代高度自动化的商用飞机进近和着陆任务中比较预期误差与实际误差的比较中,HET优于所有三种现有技术。结论是,HET应该提供一种有用的工具,作为拟议的hliman要素认证过程的辅助工具。

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