BibTeX

@inproceedings{ParryPSA2011,
title = {Towards an Improved HRA Quantification Model},
author = {Gareth W Parry and John A Forester and Katrina Groth and Stacey Hendrickson and Stuart Lewis and Erasmia Lois},
year = {2011},
date = {2011-03-01},
booktitle = {Proceedings of the ANS International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA 2011)},
address = {Wilmington, NC},
organization = {American Nuclear Society},
abstract = {The U.S. Nuclear Regulatory Commission and the Electric Power Research Institute are working together under a memorandum of understanding to improve the state of the art in human reliability analysis (HRA) by incorporating an understanding of the causes of human failures and the contextual factors that influence the likelihood of failures based on a review of relevant behavioral science and cognitive psychology literature. This paper outlines a decision-tree approach that is being developed for the estimation of human error probabilities (HEPs) that is consistent with that understanding.},
keywords = {cognitive models, Human Reliability Analysis (HRA), nuclear power, Performance Shaping Factors (PSFs)},
pubstate = {published},
tppubtype = {inproceedings}
}

Abstract

The U.S. Nuclear Regulatory Commission and the Electric Power Research Institute are working together under a memorandum of understanding to improve the state of the art in human reliability analysis (HRA) by incorporating an understanding of the causes of human failures and the contextual factors that influence the likelihood of failures based on a review of relevant behavioral science and cognitive psychology literature. This paper outlines a decision-tree approach that is being developed for the estimation of human error probabilities (HEPs) that is consistent with that understanding.