2022
DOI: 10.1177/1071181322661075
|View full text |Cite
|
Sign up to set email alerts
|

Modeling Task Time Duration Using the Hunter Dynamic Human Reliability Analysis FrameworK

Abstract: The Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) is simulation software for modeling the human portion of risk. HUNTER is built on a framework that separately models individual, task, and environmental factors. As a dynamic human reliability analysis (HRA) method, it affords advantages over traditional static or worksheet-based HRA approaches, such as the ability to model what-if scenarios and produce outputs beyond human error probabilities. In this paper, a validation was conducted o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
2

Relationship

1
5

Authors

Journals

citations
Cited by 8 publications
(16 citation statements)
references
References 5 publications
(5 reference statements)
0
4
0
Order By: Relevance
“…Since Rancor was developed to augment existing data collection methods for HRA purposes, metrics with direct implications for HRA model construction will be highlighted. Dynamic HRA methods, such as HUNTER (Boring et al 2022) need well-defined timing distributions for the basic tasks. HUNTER uses a Goals, Operators, Methods, Selection Rules (GOMS)-HRA framework, which consists of a dictionary of basic human actions, for example, task-level primitives that can be combined to represent more complicated actions found within a procedure step (Boring and Rasmussen 2016).…”
Section: Computer-based Procedures For Experimental Data Collectionmentioning
confidence: 99%
“…Since Rancor was developed to augment existing data collection methods for HRA purposes, metrics with direct implications for HRA model construction will be highlighted. Dynamic HRA methods, such as HUNTER (Boring et al 2022) need well-defined timing distributions for the basic tasks. HUNTER uses a Goals, Operators, Methods, Selection Rules (GOMS)-HRA framework, which consists of a dictionary of basic human actions, for example, task-level primitives that can be combined to represent more complicated actions found within a procedure step (Boring and Rasmussen 2016).…”
Section: Computer-based Procedures For Experimental Data Collectionmentioning
confidence: 99%
“…There is also a fascinating and emerging opportunity to begin using computation based dynamic HRA techniques in novel ways outside of risk evaluation for established systems. For example, the dynamic HRA tool HUNTER (Boring et al, 2022) can use a virtual operator model using draft procedures to simulate the interactions with a proposed system design. The simulation uses a virtual human-machine interface (HMI), representing the operators access to system state information and a model of the reactor.…”
Section: Human Performance-based Conopsmentioning
confidence: 99%
“…To address challenges stemming from the currently available recovery analysis methods (see Section 2), this study proposes a way to analyze recovery actions by using PRIME-HRA. At Idaho National Laboratory, dynamic HRA research has been performed to complement the existing static HRA approaches [10,2]. Dynamic HRA offers a couple of important benefits.…”
Section: Efforts To Conduct Dynamic (Simulation-based) Hramentioning
confidence: 99%
“…To handle challenges stemming from the existing recovery analysis methods, this study proposes a way to analyze recovery actions by employing the dynamic HRA method known as the Procedure-based Risk Investigation Method -HRA (PRIME-HRA). Through PRIME-HRA, dynamic simulation models can be developed using dynamic risk assessment tools such as Event Modeling Risk Assessment Using Linked Diagrams (EMRALD) [1] and the Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) [2]. EMRALD and HUNTER are dynamic probabilistic risk assessment (PRA)/HRA tools developed at Idaho National Laboratory.…”
mentioning
confidence: 99%