基于计算机的程序。任务级人类表现数据收集的框架

Thomas A. Ulrich, Ronald L. Boring, Roger Lew, Timothy A. Whiting
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引用次数: 0

摘要

为了支持新的和新颖的操作概念,为预期的先进核反应堆部署浪潮,人为因素和人为可靠性分析研究人员需要开发先进的基于模拟的方法。缺乏标准化的HRA模型和人类表现数据并不是什么新鲜事,并且已经存在了许多潜在的解决方案。本文提出了一个基于计算机程序的Rancor微世界模拟,该程序作为一个框架,在场景中不需要手动或主观的实验者编码就可以对人类行为进行分类。该方法支持在任务级别进行详细的分析。它是可行的收集大样本量需要开发定量建模元素,历史上一直挑战传统的全范围模拟器研究方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rancor Computer-Based Procedures – A Framework For Task Level Human Performance Data Collection
To support new and novel concepts of operations for the anticipated wave of advanced nuclear reactor deployments, human factors and human reliability analysis researchers need to develop advanced simulationbased approaches. The lack of standardized HRA models and human performance data is not new and has outlasted numerous potential solutions. This paper presents a Rancor microworld simulation with computerbased procedures that serve as a framework to classify human behaviors without manual or subjective experimenter coding during scenarios. This method supports a detailed level of analysis at the task level. It is feasible for the collecting large sample sizes required to develop quantitative modelling elements that have historically challenged traditional full-scope simulator study approaches.
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