@inproceedings{8659f4e16bfa41bd81a736b0a85a9053,
title = "Human performance modeling for dynamic human reliability analysis",
abstract = "Part of the U.S. Department of Energy{\textquoteright}s (DOE{\textquoteright}s) Light Water Reactor Sustainability (LWRS) Program, the Risk-Informed Safety Margin Characterization (RISMC) Pathway develops approaches to estimating and managing safety margins. RISMC simulations pair deterministic plant physics models with probabilistic risk models. As human interactions are an essential element of plant risk, it is necessary to integrate human actions into the RISMC risk framework. In this paper, we review simulation based and non simulation based human reliability analysis (HRA) methods. This paper summarizes the foundational information needed to develop a feasible approach to modeling human interactions in RISMC simulations.",
keywords = "Human reliability analysis, Modeling, Probabilistic risk assessment, Simulation",
author = "Ronald Boring and Jeffrey Joe and Diego Mandelli",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 6th International Conference on Digital Human Modeling, DHM 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015 ; Conference date: 02-08-2015 Through 07-08-2015",
year = "2015",
doi = "10.1007/978-3-319-21073-5_23",
language = "English",
isbn = "9783319210728",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "223--234",
editor = "Duffy, {Vincent G.}",
booktitle = "Digital Human Modeling",
}