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Experimental Analysis of the Effects of Simulator Complexity on Human Performance

  • Taewon Yang
  • , Bumjun Park
  • , Sungheon Lee
  • , Jeong Hun Choi
  • , Jooyoung Park
  • , Ronald L. Boring
  • , Jonghyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Human reliability analysis (HRA), which is used to predict accidents resulting from human errors, is an important factor in probabilistic safety assessments that comprehensively evaluate the safety of nuclear power plants (NPPs). This study analyzes how simulator complexity affects the performance of NPP operators and falls under Idaho National Laboratory's project to collect additional HRA data through the use of simulations. Experiments were conducted featuring two types of simulators and scenarios as independent variables. The data collected via these experiments were further evaluated using an analysis of variance (ANOVA) test and correlation analysis, resulting in the derivation of four human performance charts.

Original languageEnglish
Title of host publication2021 5th International Conference on System Reliability and Safety, ICSRS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages85-91
Number of pages7
ISBN (Electronic)9781665400497
DOIs
StatePublished - 2021
Event5th International Conference on System Reliability and Safety, ICSRS 2021 - Palermo, Italy
Duration: Nov 24 2021Nov 26 2021

Publication series

Name2021 5th International Conference on System Reliability and Safety, ICSRS 2021

Conference

Conference5th International Conference on System Reliability and Safety, ICSRS 2021
Country/TerritoryItaly
CityPalermo
Period11/24/2111/26/21

Keywords

  • HRA
  • human error
  • human performance

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