BibTeX

@inproceedings{GrothESREL2009,
title = {A Data-Informed Model of Performance Shaping Factors and Their Interdependencies for Use in Human Reliability Analysis},
author = {K M Groth and A Mosleh},
year = {2009},
date = {2009-09-01},
booktitle = {Proceedings of the European Society for Reliability Annual Meeting (ESREL 2009)},
address = {Prague},
abstract = {This paper introduces a new hierarchical set of interdependent Performance Shaping Factors (PSFs) and a high-level model for quantifying the influence of the PSFs on human errors. It is part of a larger project with the goal of developing a Bayesian Belief Network that will improve on current methods for estimating Human Error Probabilities. The model is based on a fusion of HRA models, human performance theories, and data from human error events in nuclear power plants. The data were taken from the Human Events Repository Analysis (HERA) database currently being developed by the US Nuclear Regulatory Commission. The first phase of the research focused on the development of a set of PSFs suitable for use in a causal model. The PSFs to be used in the model must meet several criteria to promote model validity. The PSFs must be orthogonal; that is, the PSFs must be defined such that there is no overlap between the definitions. This ensures that each observation can be consistently linked to a specific definition. The resulting set has 37 PSFs that fall into six categories representing the major aspects of the socio-technical system.},
keywords = {Bayesian Networks, causal models, human error, Human Reliability Analysis (HRA), nuclear power, Performance Shaping Factors (PSFs)},
pubstate = {published},
tppubtype = {inproceedings}
}

Abstract

This paper introduces a new hierarchical set of interdependent Performance Shaping Factors (PSFs) and a high-level model for quantifying the influence of the PSFs on human errors. It is part of a larger project with the goal of developing a Bayesian Belief Network that will improve on current methods for estimating Human Error Probabilities. The model is based on a fusion of HRA models, human performance theories, and data from human error events in nuclear power plants. The data were taken from the Human Events Repository Analysis (HERA) database currently being developed by the US Nuclear Regulatory Commission. The first phase of the research focused on the development of a set of PSFs suitable for use in a causal model. The PSFs to be used in the model must meet several criteria to promote model validity. The PSFs must be orthogonal; that is, the PSFs must be defined such that there is no overlap between the definitions. This ensures that each observation can be consistently linked to a specific definition. The resulting set has 37 PSFs that fall into six categories representing the major aspects of the socio-technical system.