Extracting and converting quantitative data into human error probabilities

Tuan Q. Tran; Ronald L. Boring; Jeffrey C. Joe; Candice D. Griffith

doi:10.1109/HFPP.2007.4413200

Extracting and converting quantitative data into human error probabilities

Tuan Q. Tran, Ronald L. Boring, Jeffrey C. Joe, Candice D. Griffith

Nuclear Science & Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

This paper discusses a proposed method using a combination of advanced statistical approaches (e.g., meta-analysis, regression, structural equation modeling) that will not only convert different empirical results into a common metric for scaling individual PSFs effects, but will also examine the complex interrelationships among PSFs. Furthermore, the paper discusses how the derived statistical estimates (i.e., effect sizes) can be mapped onto a HRA method (e.g. SPAR-H) to generate HEPs that can then be use in probabilistic risk assessment (PRA). The paper concludes with a discussion of the benefits of using academic literature in assisting HRA analysts in generating sound HEPs and HRA developers in validating current HRA models and formulating new HRA models.

Original language	English
Title of host publication	Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment
Pages	164-169
Number of pages	6
DOIs	https://doi.org/10.1109/HFPP.2007.4413200
State	Published - 2007
Event	Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment - Monterey, CA, United States Duration: Aug 26 2007 → Aug 31 2007

Publication series

Name	IEEE Conference on Human Factors and Power Plants

Conference

Conference	Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment
Country/Territory	United States
City	Monterey, CA
Period	08/26/07 → 08/31/07

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10.1109/HFPP.2007.4413200

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Tran, T. Q., Boring, R. L., Joe, J. C., & Griffith, C. D. (2007). Extracting and converting quantitative data into human error probabilities. In Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment (pp. 164-169). Article 4413200 (IEEE Conference on Human Factors and Power Plants). https://doi.org/10.1109/HFPP.2007.4413200

Tran, Tuan Q. ; Boring, Ronald L. ; Joe, Jeffrey C. et al. / Extracting and converting quantitative data into human error probabilities. Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment. 2007. pp. 164-169 (IEEE Conference on Human Factors and Power Plants).

@inproceedings{89f0c28414a44a578c8a08a5d7baea63,

title = "Extracting and converting quantitative data into human error probabilities",

abstract = "This paper discusses a proposed method using a combination of advanced statistical approaches (e.g., meta-analysis, regression, structural equation modeling) that will not only convert different empirical results into a common metric for scaling individual PSFs effects, but will also examine the complex interrelationships among PSFs. Furthermore, the paper discusses how the derived statistical estimates (i.e., effect sizes) can be mapped onto a HRA method (e.g. SPAR-H) to generate HEPs that can then be use in probabilistic risk assessment (PRA). The paper concludes with a discussion of the benefits of using academic literature in assisting HRA analysts in generating sound HEPs and HRA developers in validating current HRA models and formulating new HRA models.",

author = "Tran, {Tuan Q.} and Boring, {Ronald L.} and Joe, {Jeffrey C.} and Griffith, {Candice D.}",

year = "2007",

doi = "10.1109/HFPP.2007.4413200",

language = "English",

isbn = "1424403065",

series = "IEEE Conference on Human Factors and Power Plants",

pages = "164--169",

booktitle = "Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment",

note = "Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment ; Conference date: 26-08-2007 Through 31-08-2007",

}

Tran, TQ, Boring, RL , Joe, JC & Griffith, CD 2007, Extracting and converting quantitative data into human error probabilities. in Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment., 4413200, IEEE Conference on Human Factors and Power Plants, pp. 164-169, Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment, Monterey, CA, United States, 08/26/07. https://doi.org/10.1109/HFPP.2007.4413200

Extracting and converting quantitative data into human error probabilities. / Tran, Tuan Q.; Boring, Ronald L.; Joe, Jeffrey C. et al.
Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment. 2007. p. 164-169 4413200 (IEEE Conference on Human Factors and Power Plants).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Joe, Jeffrey C.

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AB - This paper discusses a proposed method using a combination of advanced statistical approaches (e.g., meta-analysis, regression, structural equation modeling) that will not only convert different empirical results into a common metric for scaling individual PSFs effects, but will also examine the complex interrelationships among PSFs. Furthermore, the paper discusses how the derived statistical estimates (i.e., effect sizes) can be mapped onto a HRA method (e.g. SPAR-H) to generate HEPs that can then be use in probabilistic risk assessment (PRA). The paper concludes with a discussion of the benefits of using academic literature in assisting HRA analysts in generating sound HEPs and HRA developers in validating current HRA models and formulating new HRA models.

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BT - Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment

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Tran TQ, Boring RL , Joe JC, Griffith CD. Extracting and converting quantitative data into human error probabilities. In Joint 8th IEEE HFPP Conference on Human Factor and Power Plants and 13th HPRCT Annual Workshop on Human Performance, Root Cause, Trending, Operating Experience, Self Assessment. 2007. p. 164-169. 4413200. (IEEE Conference on Human Factors and Power Plants). doi: 10.1109/HFPP.2007.4413200

Extracting and converting quantitative data into human error probabilities

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