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이승준

Lee, Seung Jun
Nuclear Safety Assessment and Plant HMI Evolution Lab.
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dc.citation.endPage 1459 -
dc.citation.number 3 -
dc.citation.startPage 1450 -
dc.citation.title IEEE TRANSACTIONS ON NUCLEAR SCIENCE -
dc.citation.volume 53 -
dc.contributor.author Ha, Chang Hoon -
dc.contributor.author Kim, Jong Hyun -
dc.contributor.author Lee, Seung Jun -
dc.contributor.author Seong, Poong Hyun -
dc.date.accessioned 2023-12-22T10:06:12Z -
dc.date.available 2023-12-22T10:06:12Z -
dc.date.created 2016-06-27 -
dc.date.issued 2006-06 -
dc.description.abstract The objective of this study is to investigate experimentally the relationship between an operator's mental workload and the information flow rate of accident diagnosis tasks and further to propose the information flow rate as an analytic method for measuring the mental workload. There are two types of mental workload in the advanced main control room of nuclear power plants: the information processing workload, which is the processing that the human operator must actually perform in order to complete the diagnosis task, and emotional stress workload experienced by the operator. In this study, the focus is on the former. Three kinds of methods are compared to measure the operator's workload: information flow rate, subjective methods, and physiological measures. Information flows for eight accident diagnosis tasks are modeled qualitatively using a stage model and are quantified using Conant's model. The information flow rate is obtained by imposing time limit restrictions for the tasks. National Aeronautics and Space Administration-Task Load Index (NASA-TLX) and Modified Cooper-Harper (MCH) scale are selected as subjective methods. For the physiological measurements, an eye tracking system analyzes eye movements related to the operator's blinking and fixation on regions of interests. Through the experiments, the relationship between the information flow rate of accident diagnosis tasks and the selected measures is investigated. Results indicate that the information flow rate of diagnosis tasks is in high agreement with both subjective rating scores and eye movement parameters related to blinking and fixation on the regions of interest. It appears, then, that information flow rate can be an alternative as an analytic approach for measuring mental workload. By using data on the information flow rate, we can predict the mental workload required for a task without performing experiments in advance -
dc.identifier.bibliographicCitation IEEE TRANSACTIONS ON NUCLEAR SCIENCE, v.53, no.3, pp.1450 - 1459 -
dc.identifier.doi 10.1109/TNS.2006.874189 -
dc.identifier.issn 0018-9499 -
dc.identifier.scopusid 2-s2.0-33746324815 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/19953 -
dc.identifier.url http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1645060 -
dc.identifier.wosid 000238582300032 -
dc.language 영어 -
dc.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC -
dc.title Investigation on relationship between information flow rate and mental workload of accident diagnosis tasks in NPPs -
dc.type Article -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor accident diagnosis tasks -
dc.subject.keywordAuthor information flow rate -
dc.subject.keywordAuthor main control rooms -
dc.subject.keywordAuthor mental workload -
dc.subject.keywordAuthor nuclear power plants -
dc.subject.keywordPlus SIMULATED FLIGHT TASK -
dc.subject.keywordPlus NUCLEAR-POWER-PLANTS -

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