Cognitive Modeling of Task Switching in Discretionary Multitasking Based on the ACT-R Cognitive Architecture
DC Field | Value | Language |
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dc.contributor.author | Oh, Hyungseok | - |
dc.contributor.author | Yun, Yongdeok | - |
dc.contributor.author | Myung, Rohae | - |
dc.date.accessioned | 2021-11-20T07:40:34Z | - |
dc.date.available | 2021-11-20T07:40:34Z | - |
dc.date.created | 2021-08-30 | - |
dc.date.issued | 2021-05 | - |
dc.identifier.issn | 2076-3417 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/128089 | - |
dc.description.abstract | Discretionary multitasking has emerged as a prevalent and important domain in research on human-computer interaction. Studies on modeling based on cognitive architectures such as ACT-R to gain insight into and predict human behavior in multitasking are critically important. However, studies on ACT-R modeling have mainly focused on concurrent and sequential multitasking, including scheduled task switching. Therefore, in this study, an ACT-R cognitive model of task switching in discretionary multitasking was developed to provide an integrated account of when and how humans decide on switching tasks. Our model contains a symbolic structure and subsymbolic equations that represent the cognitive process of task switching as self-interruption by the imposed demands and a decision to switch. To validate our model, it was applied to an illustrative dual task, including a memory game and a subitizing task, and the results were compared with human data. The results demonstrate that our model can provide a relatively accurate representation, in terms of task-switching percent just after the subtask, the number of task-switching during the subtask, and performance time depending on the task difficulty level; it exhibits enhanced performance in predicting human behavior in multitasking and demonstrates how ACT-R facilitates accounts of voluntary task switching. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | DECISION-MAKING | - |
dc.subject | INTEGRATED THEORY | - |
dc.subject | MENTAL WORKLOAD | - |
dc.subject | PERFORMANCE | - |
dc.subject | TIME | - |
dc.subject | EMOTION | - |
dc.subject | STATE | - |
dc.title | Cognitive Modeling of Task Switching in Discretionary Multitasking Based on the ACT-R Cognitive Architecture | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Myung, Rohae | - |
dc.identifier.doi | 10.3390/app11093967 | - |
dc.identifier.scopusid | 2-s2.0-85105429148 | - |
dc.identifier.wosid | 000649871600001 | - |
dc.identifier.bibliographicCitation | APPLIED SCIENCES-BASEL, v.11, no.9 | - |
dc.relation.isPartOf | APPLIED SCIENCES-BASEL | - |
dc.citation.title | APPLIED SCIENCES-BASEL | - |
dc.citation.volume | 11 | - |
dc.citation.number | 9 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.subject.keywordPlus | DECISION-MAKING | - |
dc.subject.keywordPlus | INTEGRATED THEORY | - |
dc.subject.keywordPlus | MENTAL WORKLOAD | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | TIME | - |
dc.subject.keywordPlus | EMOTION | - |
dc.subject.keywordPlus | STATE | - |
dc.subject.keywordAuthor | task switching | - |
dc.subject.keywordAuthor | cognitive model | - |
dc.subject.keywordAuthor | ACT-R | - |
dc.subject.keywordAuthor | cognitive architecture | - |
dc.subject.keywordAuthor | discretionary multitasking | - |
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