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Analysis of influencing factors in the model of erroneous action: Computer-based method and algorithms

机译:错误行为模型中的影响因素分析:基于计算机的方法和算法

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Methods that use the underlying (influencing, contributing, performance-shaping, etc.) factors in human operator error analysis, in general, inadequately incorporate them into the operator's model of erroneous action. This paper describes the method of error analysis in which the factors of the operator's performance and the underlying factors are considered to be coherent on all stages of the erroneous action: from the perception of a problem to the motivation for solving it, to the implementation of the decision. The method provides a deeper analysis of underlying factors using the proposed frame descriptions for errors with logical, decision-making, and classification algorithms, as well as the results of psychological experiments. In the paper, the special types of classification algorithms that analyze the different stages of the erroneous action with the use of the corresponding influencing factors are demonstrated. These algorithms were applied in aviation for the investigation of pilot and air-traffic controller errors.
机译:通常,在人为操作员错误分析中使用潜在(影响,贡献,性能塑造等)因素的方法通常不会将其充分纳入操作员的错误动作模型中。本文介绍了一种错误分析方法,在该方法中,将操作员绩效的因素和潜在因素视为在错误操作的所有阶段都连贯的:从感知问题到解决问题的动力,再到实施问题的方法。决定。该方法使用建议的框架描述,通过逻辑,决策和分类算法以及心理实验的结果,对错误进行了更深入的分析。在本文中,展示了使用相应的影响因素来分析错误动作的不同阶段的特殊分类算法。这些算法在航空中用于调查飞行员和空中交通管制员的错误。

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