DocumentCode
1728901
Title
Measurement-based techniques for evaluation of human interfaces
Author
Singh, Avtar
Author_Institution
EPRI, Palo Alto, CA, USA
fYear
1992
Firstpage
278
Abstract
Summary form only given. In order to enhance objectivity and realism of human reliability assessment (HRA) methods, the Electric Power Research Institute (EPRI) initiated a program to systematically collect data on reliability of control room crew actions during simulator training exercises. The operator reliability data have been used to modify the original human cognitive reliability model (HCR), which feature a skill-, rule-, and knowledge-based classification of human actions to a procedure-based cue-response classification. This improved approach allows for the explicit integration of the impact of operating procedures into probabilistic risk analyses (PRAs). Insights gained from the data are being used by EPRI to provide additional guidance to utility analysts on the detailed logic modeling of human actions and its integration with system logic models in the SHARP1 (systematic human action reliability procedure) framework.<>
Keywords
human factors; nuclear power stations; power station computer control; reliability; EPRI; Electric Power Research Institute; SHARP1; control room crew actions; human actions; human cognitive reliability model; human interfaces; human reliability assessment; knowledge-based classification; logic modeling; probabilistic risk analyses; procedure-based cue-response classification; rule-based classification; simulator training exercises; skill-based classification; system logic models; systematic human action reliability procedure; Computational modeling; Error probability; Humans; Inductors; Industrial accidents; Logic; Performance evaluation; Prototypes; Risk analysis; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Human Factors and Power Plants, 1992., Conference Record for 1992 IEEE Fifth Conference on
Conference_Location
Monterey, CA, USA
Print_ISBN
0-7803-0888-3
Type
conf
DOI
10.1109/HFPP.1992.283397
Filename
283397
Link To Document