Detailed Information

Cited 27 time in webofscience Cited 30 time in scopus
Metadata Downloads

Eliciting User Needs and Design Requirements for User Experience in Fully Automated Vehicles

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Seul Chan-
dc.contributor.authorNadri, Chihab-
dc.contributor.authorSanghavi, Harsh-
dc.contributor.authorJeon, Myounghoon-
dc.date.accessioned2022-12-26T07:21:24Z-
dc.date.available2022-12-26T07:21:24Z-
dc.date.issued2022-02-
dc.identifier.issn1044-7318-
dc.identifier.issn1532-7590-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/1625-
dc.description.abstractThe introduction of fully automated vehicles (FAVs) will change user experiences (UX) in personal transportation. In order for FAVs to become a life enhancing technology, it is required to design vehicular applications and user interfaces based on users' expectations. To this end, we investigated user needs and design requirements. First, we elicited design taxonomy and use cases through literature review and trend analysis. Using these materials, expert interviews (N = 9) and focus group interviews (N = 10) were conducted. Through the qualitative analysis, we obtained twelve categories of user needs and devised design requirements based on the updated design taxonomy. While some of them have been an extension of current experiences in manual driving, completely new demands have also emerged within FAVs. Our findings contribute to designing UX in FAVs by satisfying users' expectations and key values that can guide designers.-
dc.format.extent13-
dc.language영어-
dc.language.isoENG-
dc.publisherLawrence Erlbaum Associates Inc.-
dc.titleEliciting User Needs and Design Requirements for User Experience in Fully Automated Vehicles-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1080/10447318.2021.1937875-
dc.identifier.scopusid2-s2.0-85107731227-
dc.identifier.wosid000660977600001-
dc.identifier.bibliographicCitationInternational Journal of Human-Computer Interaction, v.38, no.3, pp 227 - 239-
dc.citation.titleInternational Journal of Human-Computer Interaction-
dc.citation.volume38-
dc.citation.number3-
dc.citation.startPage227-
dc.citation.endPage239-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Cybernetics-
dc.relation.journalWebOfScienceCategoryErgonomics-
dc.subject.keywordPlusGLANCE BEHAVIOR-
dc.subject.keywordPlusINFORMATION-SYSTEMS-
dc.subject.keywordPlusAUTONOMOUS VEHICLES-
dc.subject.keywordPlusDRIVING PERFORMANCE-
dc.subject.keywordPlusCAR-
dc.subject.keywordPlusCOMPLEXITY-
dc.subject.keywordPlusINTERFACES-
dc.subject.keywordPlusQUALITY-
dc.subject.keywordPlusDISPLAY-
dc.subject.keywordPlusLEVEL-
Files in This Item
There are no files associated with this item.
Appears in
Collections
공과대학 > Department of Industrial and Systems Engineering > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE