Open Access
,
pages 27-36
Introducing Human Performance Modeling in Digital Nuclear Power Industry
Publication type: Book Chapter
Publication date: 2013-07-01
scimago Q2
SJR: 0.352
CiteScore: 2.4
Impact factor: —
ISSN: 03029743, 16113349, 18612075, 18612083
Abstract
Human performance modeling (HPM) can be used to explain and predict human behaviors under certain situations, helping designers in the design stage through evaluating the interface, procedure, staffing, etc. This study discusses the feasibility of introducing HPM methods into digital nuclear power industry through 1) the new characteristics of human- system interaction/human performance in digital main control rooms (MCRs) of nuclear power plants (NPPs), 2) the simulating abilities of available HPMs on their latest progress. Based on the review of the two issues, we conclude that: 1) digitalization of NPPs changes operators’ performance through the system, task, environment and human himself. 2) HPM is classified as human reliability modeling and cognitive modeling. The lack of performance data could be an obstacle for applying human reliability modeling in digital MCRs. The unclear underlying mechanism of human-system interaction in digital MCRs constrains the introducing of cognitive modeling.
Found
Nothing found, try to update filter.
Found
Nothing found, try to update filter.
Top-30
Journals
|
1
|
|
|
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
1 publication, 25%
|
|
|
International Journal of Human-Computer Interaction
1 publication, 25%
|
|
|
Vestnik Universiteta
1 publication, 25%
|
|
|
Nuclear Engineering and Technology
1 publication, 25%
|
|
|
1
|
Publishers
|
1
|
|
|
SAGE
1 publication, 25%
|
|
|
Taylor & Francis
1 publication, 25%
|
|
|
State University of Management
1 publication, 25%
|
|
|
Elsevier
1 publication, 25%
|
|
|
1
|
- We do not take into account publications without a DOI.
- Statistics recalculated weekly.
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
4
Total citations:
4
Citations from 2024:
1
(25%)
The most citing journal
Citations in journal:
1
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
Jiang X., Gao Q., Li Z. Introducing Human Performance Modeling in Digital Nuclear Power Industry // Lecture Notes in Computer Science. 2013. pp. 27-36.
GOST all authors (up to 50)
Copy
Jiang X., Gao Q., Li Z. Introducing Human Performance Modeling in Digital Nuclear Power Industry // Lecture Notes in Computer Science. 2013. pp. 27-36.
Cite this
RIS
Copy
TY - GENERIC
DO - 10.1007/978-3-642-39137-8_4
UR - https://doi.org/10.1007/978-3-642-39137-8_4
TI - Introducing Human Performance Modeling in Digital Nuclear Power Industry
T2 - Lecture Notes in Computer Science
AU - Jiang, Xiang
AU - Gao, Qin
AU - Li, Zhizhong
PY - 2013
DA - 2013/07/01
PB - Springer Nature
SP - 27-36
SN - 0302-9743
SN - 1611-3349
SN - 1861-2075
SN - 1861-2083
ER -
Cite this
BibTex (up to 50 authors)
Copy
@incollection{2013_Jiang,
author = {Xiang Jiang and Qin Gao and Zhizhong Li},
title = {Introducing Human Performance Modeling in Digital Nuclear Power Industry},
publisher = {Springer Nature},
year = {2013},
pages = {27--36},
month = {jul}
}