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What Do You Want for In-Vehicle Agents? One Fits All vs. Multiple Specialized Agents

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dc.contributor.authorPark, S.H.-
dc.contributor.authorLee, S.C.-
dc.contributor.authorWang, M.-
dc.contributor.authorHock, P.-
dc.contributor.authorBaumann, M.-
dc.contributor.authorJeon, M.-
dc.date.accessioned2023-01-04T06:12:01Z-
dc.date.available2023-01-04T06:12:01Z-
dc.date.issued2022-09-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/29957-
dc.description.abstractIt is expected that in-vehicle intelligent agents (IVIAs) become an important user interface in automated driving, and much research on how to design IVIAs considering user needs and scenarios has been conducted. The question arising here is whether people want to have one almighty agent connecting to all user's data sources and dealing with all situations, including driving contexts. Another plausible form is multiple specialized agents that play the role only in each task context. As a first step in answering the question, we developed two plausible scenarios of interacting with IVIAs and presented the video. In both scenarios, a user of IVIAs experiences embarrassing situations because of the connectivity of IVIAs. We expect that this effort can be a starting point to understand users' needs and requirements to develop and design IVIAs in terms of connectivity. © 2022 Owner/Author.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherAssociation for Computing Machinery, Inc-
dc.titleWhat Do You Want for In-Vehicle Agents? One Fits All vs. Multiple Specialized Agents-
dc.typeArticle-
dc.identifier.doi10.1145/3544999.3550153-
dc.identifier.scopusid2-s2.0-85139061308-
dc.identifier.wosid001144178100046-
dc.identifier.bibliographicCitationAdjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022, pp 199 - 200-
dc.citation.titleAdjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022-
dc.citation.startPage199-
dc.citation.endPage200-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTransportation-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTransportation Science & Technology-
dc.subject.keywordAuthorAutomated Vehicle-
dc.subject.keywordAuthorIn-Vehicle Driving Agents-
dc.subject.keywordAuthorIntelligent Agents-
dc.subject.keywordAuthorMultiple Agents-
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공과대학 > Department of Industrial and Systems Engineering > Journal Articles
공학계열 > 산업시스템공학과 > Journal Articles

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