Complexity of In-Vehicle Controllers and Their Effect on Task Performance
DC Field | Value | Language |
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dc.contributor.author | Lee, Seul Chan | - |
dc.contributor.author | Ji, Yong Gu | - |
dc.date.accessioned | 2024-06-13T03:00:32Z | - |
dc.date.available | 2024-06-13T03:00:32Z | - |
dc.date.issued | 2019-01 | - |
dc.identifier.issn | 1044-7318 | - |
dc.identifier.issn | 1532-7590 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/119431 | - |
dc.description.abstract | Smart functions in vehicles have led to an increase in the complexity of control interfaces. This study aims to develop a model for evaluating in-vehicle controller complexity and to investigate the relationship between complexity and task performance. A research framework consisting of three complexity dimensions (functional, behavioral, and structural dimensions) and controller-related variables was developed based on previous literature. A user experiment was conducted using 10 vehicles and 91 participants. A regression analysis was used to examine the relationship between the measurement variables and perceived controller complexity, and the results indicated correlations between them. An increase in functional dimension variables caused an increase in the perceived complexity level, while behavioral dimension variables are not a statistically significant predictor. Structural dimension variables showed different results depending on the characteristics of the variables. The results of the control task experiment showed a negative correlation between task performance and the perceived complexity level. In addition, satisfaction decreased with increasing levels of complexity. These results provide insights for managing in-vehicle controller complexity. © 2018, © 2018 Taylor & Francis Group, LLC. | - |
dc.format.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Lawrence Erlbaum Associates Inc. | - |
dc.title | Complexity of In-Vehicle Controllers and Their Effect on Task Performance | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1080/10447318.2018.1428263 | - |
dc.identifier.scopusid | 2-s2.0-85041006033 | - |
dc.identifier.wosid | 000450410500005 | - |
dc.identifier.bibliographicCitation | International Journal of Human-Computer Interaction, v.35, no.1, pp 65 - 74 | - |
dc.citation.title | International Journal of Human-Computer Interaction | - |
dc.citation.volume | 35 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 65 | - |
dc.citation.endPage | 74 | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Cybernetics | - |
dc.relation.journalWebOfScienceCategory | Ergonomics | - |
dc.subject.keywordPlus | PERCEIVED VISUAL COMPLEXITY | - |
dc.subject.keywordPlus | AUTOMOTIVE INSTRUMENT CLUSTER | - |
dc.subject.keywordPlus | DRIVING PERFORMANCE | - |
dc.subject.keywordPlus | KNOWLEDGE REPRESENTATION | - |
dc.subject.keywordPlus | INFORMATION-SYSTEMS | - |
dc.subject.keywordPlus | SAFETY PERCEPTION | - |
dc.subject.keywordPlus | GLANCE BEHAVIOR | - |
dc.subject.keywordPlus | USER-INTERFACE | - |
dc.subject.keywordPlus | KEY SIZE | - |
dc.subject.keywordPlus | USABILITY | - |
dc.identifier.url | https://www.scopus.com/record/display.uri?eid=2-s2.0-85041006033&origin=inward&txGid=abe99bfc8dcee7531220b26725009ba1#indexed-keywords | - |
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