基于测量的人机界面评估技术

A. Singh
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引用次数: 0

摘要

只提供摘要形式。为了提高人类可靠性评估(HRA)方法的客观性和现实性,美国电力研究所(EPRI)启动了一项系统收集模拟机训练中控制室人员行动可靠性数据的计划。操作员可靠性数据被用于修改原始的人类认知可靠性模型(HCR),该模型以基于技能、规则和知识的人类行为分类为基础,以基于程序的线索响应分类为基础。这种改进的方法允许将操作程序的影响显式集成到概率风险分析(PRAs)中。EPRI正在使用从数据中获得的见解,为公用事业分析师提供关于人类行为的详细逻辑建模及其与SHARP1(系统人类行为可靠性程序)框架中系统逻辑模型的集成的额外指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measurement-based techniques for evaluation of human interfaces
Summary form only given. In order to enhance objectivity and realism of human reliability assessment (HRA) methods, the Electric Power Research Institute (EPRI) initiated a program to systematically collect data on reliability of control room crew actions during simulator training exercises. The operator reliability data have been used to modify the original human cognitive reliability model (HCR), which feature a skill-, rule-, and knowledge-based classification of human actions to a procedure-based cue-response classification. This improved approach allows for the explicit integration of the impact of operating procedures into probabilistic risk analyses (PRAs). Insights gained from the data are being used by EPRI to provide additional guidance to utility analysts on the detailed logic modeling of human actions and its integration with system logic models in the SHARP1 (systematic human action reliability procedure) framework.<>
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