Skip to main navigation Skip to search Skip to main content

On the Use of Microworlds for an Error Seeding Method to Support Human Error Analysis

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

2 Scopus citations

Abstract

The field of human reliability analysis (HRA) has matured significantly since its original conception in nuclear safety. However, the field of HRA must be advanced in order to catch up with the advances in the probabilistic safety analysis field to support more accurate quantification of plant risk. This paper examines the Rancor microworld as an HRA data collection tool designed to quickly administer and gather human performance data to support quantitative models of human error. An error seeding method formed the basis of the simulation design to capture human error in response to routine and abnormal operations. The rationale behind a simplified simulator, designing experiments and developing scenarios is described. Furthermore, the results of a task analysis is presented, which establishes a basis of comparison against existing data collections performed with full scope simulator studies with data collected from the Rancor microworld.

Original languageEnglish
Title of host publicationProceedings - 2019 Resilience Week, RWS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages242-246
Number of pages5
ISBN (Electronic)9781728121352
DOIs
StatePublished - Nov 2019
Event2019 Resilience Week, RWS 2019 - San Antonio, United States
Duration: Nov 4 2019Nov 7 2019

Publication series

NameProceedings - 2019 Resilience Week, RWS 2019

Conference

Conference2019 Resilience Week, RWS 2019
Country/TerritoryUnited States
CitySan Antonio
Period11/4/1911/7/19

Keywords

  • data collection
  • human reliability analysis
  • microworld simulator

Fingerprint

Dive into the research topics of 'On the Use of Microworlds for an Error Seeding Method to Support Human Error Analysis'. Together they form a unique fingerprint.

Cite this