Bridging the simulator gap: Measuring motivational bias in digital nuclear power plant environments
Rachel Benish Shirley and
Carol Smidts
Reliability Engineering and System Safety, 2018, vol. 177, issue C, 191-209
Abstract:
Using digital NPP simulator facilities for research in Human Reliability Analysis (HRA) and nuclear power research is increasingly popular. We propose a method for characterizing and quantifying the gap between data collected in a simulator and data that reflect NPP operations. Using novice operators, we demonstrate how to manipulate and measure the impact of the simulator environment on operator actions.
Keywords: Nuclear power; Human reliability analysis; Simulator studies; Digital simulator environments; Structural equation modeling; Latent variables; Mediation; Sample size (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832016304227
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:177:y:2018:i:c:p:191-209
DOI: 10.1016/j.ress.2018.04.016
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().