Prediction of Human Performance Time to Find Objects on Multi-display Monitors using ACT-R Cognitive Architecture
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 오형석 | - |
dc.contributor.author | 명노해 | - |
dc.contributor.author | 김상협 | - |
dc.contributor.author | 장은혜 | - |
dc.contributor.author | 박병준 | - |
dc.date.accessioned | 2021-09-06T07:29:46Z | - |
dc.date.available | 2021-09-06T07:29:46Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 1229-1684 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/105021 | - |
dc.description.abstract | Objective: The aim of this study was to predict human performance time in finding objects on multi-display monitors using ACT-R cognitive architecture. Background: Display monitors are one of the representative interfaces for interaction between people and the system. Nowadays, the use of multi-display monitors is increasing so that it is necessary to research about the interaction between users and the system on multi-display monitors. Method: A cognitive model using ACT-R cognitive architecture was developed for the model-based evaluation on multi-display monitors. To develop the cognitive model, first,an experiment was performed to extract the latency about the where system of ACT-R. Then, a menu selection experiment was performed to develop a human performance model to find objects on multi-display monitors. The validation of the cognitive model was also carried out between the developed ACT-R model and empirical data. Results: As a result, no significant difference on performance time was found between the model and empirical data. Conclusion: The ACT-R cognitive architecture could be extended to model human behavior in the search of objects on multi-display monitors.. Application: This model can help predicting performance time for the model-based usability evaluation in the area of multi-display work environments. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | 대한인간공학회 | - |
dc.title | Prediction of Human Performance Time to Find Objects on Multi-display Monitors using ACT-R Cognitive Architecture | - |
dc.title.alternative | Prediction of Human Performance Time to Find Objects on Multi-display Monitors using ACT-R Cognitive Architecture | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 명노해 | - |
dc.identifier.doi | 10.5143/JESK.2013.32.2.159 | - |
dc.identifier.bibliographicCitation | 대한인간공학회지, v.32, no.2, pp.159 - 165 | - |
dc.relation.isPartOf | 대한인간공학회지 | - |
dc.citation.title | 대한인간공학회지 | - |
dc.citation.volume | 32 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 159 | - |
dc.citation.endPage | 165 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001765381 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | ACT-R | - |
dc.subject.keywordAuthor | Cognitive architecture | - |
dc.subject.keywordAuthor | Model-based evaluation | - |
dc.subject.keywordAuthor | Multi-display monitors | - |
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