کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1728410 1521133 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A development of a quantitative situation awareness measurement tool: Computational Representation of Situation Awareness with Graphical Expressions (CoRSAGE)
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
A development of a quantitative situation awareness measurement tool: Computational Representation of Situation Awareness with Graphical Expressions (CoRSAGE)
چکیده انگلیسی


• We proposed quantitative situation awareness (SA) evaluation technique.
• We developed a computer based SA evaluation tool for NPPs training environment.
• We introduced three rules and components to express more human-like results.
• We conducted three sets of training with real plant operators.
• Results showed that the tool could reasonably represent operator’s SA.

Operator performance measures are used for multiple purposes, such as control room design, human system interface (HSI) evaluation, training, and so on. Performance measures are often focused on results; however, especially for a training purpose – at least in a nuclear industry, more detailed descriptions about processes are required. Situation awareness (SA) measurements have directly/indirectly played as a complimentary measure and provided descriptive insights on how to improve performance of operators for the next training. Unfortunately, most of the well-developed SA measurement techniques, such as Situation Awareness Global Assessment Technique (SAGAT) need an expert opinion which sometimes troubles easy spread of measurement’s application or usage. A quantitative SA measurement tool named Computational Representation of Situation Awareness with Graphical Expressions (CoRSAGE) is introduced to resolve some of these concerns. CoRSAGE is based on production rules to represent a human operator’s cognitive process of problem solving, and Bayesian inference to quantify it. Petri Net concept is also used for graphical expressions of SA flow. Three components – inference transition, volatile/non-volatile memory tokens – were newly developed to achieve required functions. Training data of a Loss of Coolant Accident (LOCA) scenario for an emergency condition and an earthquake scenario for an abnormal condition by real plant operators were used to validate the tool. The validation result showed that CoRSAGE performed a reasonable match to other performance results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Annals of Nuclear Energy - Volume 65, March 2014, Pages 144–157
نویسندگان
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