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运用人为因素分析与分类系统识别军事飞行员的训练缺陷。

Identifying training deficiencies in military pilots by applying the human factors analysis and classification system.

机构信息

Psychology Department, National Defense University, Taipei City, Taiwan (Republic of China).

出版信息

Int J Occup Saf Ergon. 2013;19(1):3-18. doi: 10.1080/10803548.2013.11076962.

DOI:10.1080/10803548.2013.11076962
PMID:23498701
Abstract

Without accurate analysis, it is difficult to identify training needs and develop the content of training programs required for preventing aviation accidents. The human factors analysis and classification system (HFACS) is based on Reason's system-wide model of human error. In this study, 523 accidents from the Republic of China Air Force were analyzed in which 1762 human errors were categorized. The results of the analysis showed that errors of judgment and poor decision-making were commonly reported amongst pilots. As a result, it was concluded that there was a need for military pilots to be trained specifically in making decisions in tactical environments. However, application of HFACS also allowed the identification of systemic training deficiencies within the organization further contributing to the accidents observed.

摘要

如果没有准确的分析,就很难确定培训需求,并制定预防航空事故所需的培训计划的内容。人为因素分析和分类系统(HFACS)是基于Reason 的系统范围的人为错误模型。在这项研究中,分析了中华民国空军的 523 起事故,其中分类了 1762 个人为错误。分析结果表明,飞行员普遍报告判断错误和决策不佳。因此,得出的结论是,需要对军事飞行员进行专门培训,使其能够在战术环境中做出决策。但是,HFACS 的应用也使我们能够识别组织内的系统培训缺陷,这进一步导致了所观察到的事故。

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