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Potential use of HMI evaluation methods in HRA

机译:HMI评估方法在HRA中的潜在用途

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摘要

A human reliability analysis (HRA) is defined as "any method by which human reliability is estimated" [1, p. 301] and generally consist of three parts: 1) identifying possible human errors and contributors, 2) model human error, and 3) quantify human error probabilities. Many HRA methods quantify human error probabilities through the use of performance shaping factors (PSFs) that increase or decrease these probabilities. One of the factors that are often evaluated is the quality of the human machine interface (HMI) and how it affects performance. However, as evaluating HMI can be a complicated task the descriptions found in HRA methods are often not sufficient to perform the evaluation. This problem has increased lately as most current HRA methods are based on classical non-computerized control rooms creating a mismatch between the descriptions and the real world [2]. In this paper different HMI evaluation methods are discussed in terms of their usability in situations where the descriptions provided in HRA methods are not sufficient.
机译:人的可靠性分析(HRA)定义为“估计人类可靠性的任何方法”[1,p。 301]通常由三部分组成:1)识别可能的人类错误和贡献者,2)模型人类误差和3)量化人为误差概率。许多HRA方法通过使用增加或减少这些概率的性能塑形因子(PSF)来量化人为误差概率。通常评估的因素之一是人机界面(HMI)的质量以及它如何影响性能。然而,由于评估HMI可以是一个复杂的任务,在HRA方法中发现的描述通常不足以执行评估。最近,这一问题最近提高了大多数HRA方法,基于经典的非计算机化控制室,在描述和现实世界之间创造不匹配[2]。在本文中,在HRA方法中提供的描述的情况下,在其可用性方面讨论了不同的HMI评估方法。

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