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ACT-R 인지 아키텍처를 이용한 운전자의 인지 부하 측정
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 임수용 | - |
| dc.contributor.author | 명노해 | - |
| dc.contributor.author | 홍기범 | - |
| dc.date.accessioned | 2021-09-07T00:27:52Z | - |
| dc.date.available | 2021-09-07T00:27:52Z | - |
| dc.date.created | 2021-06-18 | - |
| dc.date.issued | 2012 | - |
| dc.identifier.issn | 1225-0996 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/109522 | - |
| dc.description.abstract | The driver model based on the ACT-R cognitive architecture was developed in order to predict the performance and cognitive workload of a driver operating HVI devices. In the 10 HVI tasks, the predicted performance time and cognitive workload by the ACT-R driver model was well matched and highly correlated with the mean of performance times and subjective workload ratings from 15 participants,respectively. It is strongly proposed that the ACT-R driver model in this study can be applied to evaluate the usability of a new HVI design with less cost in the early stage of system development. | - |
| dc.language | Korean | - |
| dc.language.iso | ko | - |
| dc.publisher | 대한산업공학회 | - |
| dc.title | ACT-R 인지 아키텍처를 이용한 운전자의 인지 부하 측정 | - |
| dc.title.alternative | Prediction of Driver’s Cognitive Workload using Cognitive Architecture : ACT-R | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | 명노해 | - |
| dc.identifier.bibliographicCitation | 산업공학(IE interfaces), v.25, no.2, pp.187 - 195 | - |
| dc.relation.isPartOf | 산업공학(IE interfaces) | - |
| dc.citation.title | 산업공학(IE interfaces) | - |
| dc.citation.volume | 25 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 187 | - |
| dc.citation.endPage | 195 | - |
| dc.type.rims | ART | - |
| dc.identifier.kciid | ART001664333 | - |
| dc.description.journalClass | 2 | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | ACT-R | - |
| dc.subject.keywordAuthor | cognitive architecture | - |
| dc.subject.keywordAuthor | driver’s workload | - |
| dc.subject.keywordAuthor | model-based evaluation | - |
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