DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ha, Jun Su | ko |
dc.contributor.author | Byon, Young-Ji | ko |
dc.contributor.author | Baek, Joonsang | ko |
dc.contributor.author | Seong, Poong-Hyun | ko |
dc.date.accessioned | 2016-06-07T08:59:18Z | - |
dc.date.available | 2016-06-07T08:59:18Z | - |
dc.date.created | 2016-01-04 | - |
dc.date.created | 2016-01-04 | - |
dc.date.issued | 2016-02 | - |
dc.identifier.citation | NUCLEAR ENGINEERING AND TECHNOLOGY, v.48, no.1, pp.129 - 143 | - |
dc.identifier.issn | 1738-5733 | - |
dc.identifier.uri | http://hdl.handle.net/10203/207666 | - |
dc.description.abstract | Sometimes, we need or try to figure out somebody's thoughts from his or her behaviors such as eye movement, facial expression, gestures, and motions. In safety-critical and complex systems such as nuclear power plants, the inference of operators' thoughts (understanding or diagnosis of a current situation) might provide a lot of opportunities for useful applications, such as development of an improved operator training program, a new type of operator support system, and human performance measures for human factor validation. In this experimental study, a novel method for inference of an operator's thoughts from his or her eye movement data is proposed and evaluated with a nuclear power plant simulator. In the experiments, about 80% of operators' thoughts can be inferred correctly using the proposed method. | - |
dc.language | English | - |
dc.publisher | KOREAN NUCLEAR SOC | - |
dc.subject | ATTENTIONAL-RESOURCE EFFECTIVENESS | - |
dc.subject | OPTIMAL CONTROL MODEL | - |
dc.subject | SITUATION ASSESSMENT | - |
dc.subject | QUEUEING MODEL | - |
dc.subject | HUMAN RESPONSE | - |
dc.subject | VALIDATION | - |
dc.subject | TIME | - |
dc.title | Method for Inference of Operators' Thoughts from Eye Movement Data in Nuclear Power Plants | - |
dc.type | Article | - |
dc.identifier.wosid | 000371043200012 | - |
dc.identifier.scopusid | 2-s2.0-84958759358 | - |
dc.type.rims | ART | - |
dc.citation.volume | 48 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 129 | - |
dc.citation.endingpage | 143 | - |
dc.citation.publicationname | NUCLEAR ENGINEERING AND TECHNOLOGY | - |
dc.identifier.doi | 10.1016/j.net.2015.09.004 | - |
dc.contributor.localauthor | Seong, Poong-Hyun | - |
dc.contributor.nonIdAuthor | Ha, Jun Su | - |
dc.contributor.nonIdAuthor | Byon, Young-Ji | - |
dc.contributor.nonIdAuthor | Baek, Joonsang | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Diagnosis | - |
dc.subject.keywordAuthor | Eye tracking | - |
dc.subject.keywordAuthor | Monitoring | - |
dc.subject.keywordAuthor | Nuclear power plant | - |
dc.subject.keywordAuthor | Selective attention | - |
dc.subject.keywordPlus | ATTENTIONAL-RESOURCE EFFECTIVENESS | - |
dc.subject.keywordPlus | OPTIMAL CONTROL MODEL | - |
dc.subject.keywordPlus | SITUATION ASSESSMENT | - |
dc.subject.keywordPlus | QUEUEING MODEL | - |
dc.subject.keywordPlus | HUMAN RESPONSE | - |
dc.subject.keywordPlus | VALIDATION | - |
dc.subject.keywordPlus | TIME | - |
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