Investigation on applicability of information theory to prediction of operator performance in diagnosis tasks at nuclear power plants

Cited 14 time in webofscience Cited 0 time in scopus
  • Hit : 614
  • Download : 512
DC FieldValueLanguage
dc.contributor.authorKim, JHko
dc.contributor.authorLee, SJko
dc.contributor.authorSeong, Poong-Hyunko
dc.date.accessioned2007-10-16T02:29:42Z-
dc.date.available2007-10-16T02:29:42Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2003-08-
dc.identifier.citationIEEE TRANSACTIONS ON NUCLEAR SCIENCE, v.50, pp.1238 - 1252-
dc.identifier.issn0018-9499-
dc.identifier.urihttp://hdl.handle.net/10203/1727-
dc.description.abstractThis paper investigates the applicability of information theory to predicting operator performance in diagnosis tasks at nuclear power plants (NPPs). Some general descriptions about diagnosis tasks in a main control room (MCR) are provided and information theory conventionally used in the studies of human information processing is briefly reviewed. Then, as an alternative to classical information theory, this paper proposes a method to quantify the cognitive information flow of diagnosis tasks, integrating a stage model (a qualitative approach) with information theory (a quantitative approach). An information flow model is developed based, on operating procedures and quantified using Conant's model. Finally, three experiments, were conducted to evaluate the effectiveness of the proposed approach to predicting human performance, especially average diagnosis time. The results of two experiments show that subjects' diagnosis time has a proportional relationship to the quantified information flow. The other investigated operator performance variation in terms of accuracy under system-paced information presentation. As a result of the third experiment, subjects showed better performances in a specific range of information rate, compared with in other ranges.-
dc.description.sponsorshipThis work was supported by the National Research Laboratory Program of MOST, Korea.en
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectMENTAL MODELS-
dc.subjectSYSTEMS-
dc.subjectBEHAVIOR-
dc.titleInvestigation on applicability of information theory to prediction of operator performance in diagnosis tasks at nuclear power plants-
dc.typeArticle-
dc.identifier.wosid000184790700002-
dc.identifier.scopusid2-s2.0-0042426168-
dc.type.rimsART-
dc.citation.volume50-
dc.citation.beginningpage1238-
dc.citation.endingpage1252-
dc.citation.publicationnameIEEE TRANSACTIONS ON NUCLEAR SCIENCE-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorSeong, Poong-Hyun-
dc.contributor.nonIdAuthorKim, JH-
dc.contributor.nonIdAuthorLee, SJ-
dc.type.journalArticleArticle-
dc.subject.keywordAuthordiagnosis task-
dc.subject.keywordAuthorinformation flow-
dc.subject.keywordAuthorinformation theory-
dc.subject.keywordAuthoroperator performance-
dc.subject.keywordAuthorworkload-
dc.subject.keywordPlusMENTAL MODELS-
dc.subject.keywordPlusSYSTEMS-
dc.subject.keywordPlusBEHAVIOR-
Appears in Collection
NE-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 14 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0