Evaluation of support system for characterization of training scenarios for BWR

Soshi Suzuki, Makoto Takahashi, Toshio Wakabayashi, Kouji Iwatare

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to improve operational training quality, the support system for characterization of the training scenarios has been developed and confirmed to be effective through evaluation of several scenarios. In the present study, the additional scenario have been prepared by altering the existing scenarios and the results of the scenario characterization by the developed system have been analyzed to examine whether the results are consistent with the intuition of experienced instructors. The results of the evaluation show that developed system is capable of characterizing scenarios consistently with intuition of the experienced instructors. It is expected that guidelines for building training scenarios with severity objectively determined can be developed based on the proposed method.

Original languageEnglish
Title of host publication7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
Pages1021-1029
Number of pages9
Publication statusPublished - 2010 Dec 1
Event7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010 - Las Vegas, NV, United States
Duration: 2010 Nov 72010 Nov 11

Publication series

Name7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
Volume2

Other

Other7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
Country/TerritoryUnited States
CityLas Vegas, NV
Period10/11/710/11/11

Keywords

  • Cognitive complexity
  • Operator training
  • System evaluation
  • Training scenarios

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Nuclear Energy and Engineering
  • Control and Systems Engineering

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