引用本文: | 孙志强,史秀建,李欣欣,等.基于认知模型的人为差错分类方法.[J].国防科技大学学报,2008,30(1):73-77,93.[点击复制] |
SUN Zhiqiang,SHI Xiujian,LI Xinxin,et al.A Framework for Classifying Human Errors Based on Cognitive Model[J].Journal of National University of Defense Technology,2008,30(1):73-77,93[点击复制] |
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基于认知模型的人为差错分类方法 |
孙志强, 史秀建, 李欣欣, 谢红卫 |
(国防科技大学 机电工程与自动化学院,湖南 长沙 410073)
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摘要: |
为了保证人为差错分类的全面性和一致性,在详细分析现有人为差错分类方法的基础上,提出了一种新的人为差错分类框架。该框架以“执行差错/忽略”为起点进行细化,得到五种基本的人为差错类别。以此作为人为差错原语,结合认知模型,分析了不同认知阶段可能出现的人为差错模式。实例证明,在这种分类方法指导下来分析人为差错,对提高人为差错分类结果的全面性和一致性有着重要意义。 |
关键词: 人为差错 差错类别 执行差错 忽略差错 认知模型 系统安全 |
DOI: |
投稿日期:2007-09-30 |
基金项目:国家部委资助项目(51319040201) |
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A Framework for Classifying Human Errors Based on Cognitive Model |
SUN Zhiqiang, SHI Xiujian, LI Xinxin, XIE Hongwei |
(College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China)
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Abstract: |
A new framework for classifying human errors is presented on basis of the existing frameworks. The human error taxonomies derived from this framework are more comprehensive and consistent. In this framework, the seminal framework of “Commission/Omission” is branched out, and five basic human error types are derived. The five human error types can be used as primitives and combined with cognitive model in order to identify the human error modes at various cognitive modules. The process of human error identification is illustrated by an artificial example. The results show that this framework is effective. |
Keywords: human error error taxonomy commission error omission error cognitive model system safety |
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