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From Humanoid to Virtual Humans: A Systematic Literature Review of Avatar Marketing

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dc.contributor.authorQu, Ying-
dc.contributor.authorLo, Chris K. Y.-
dc.contributor.authorBaek, Eunsoo-
dc.date.accessioned2025-12-30T02:00:16Z-
dc.date.available2025-12-30T02:00:16Z-
dc.date.issued2025-10-
dc.identifier.issn1044-7318-
dc.identifier.issn1532-7590-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210151-
dc.description.abstractAvatars, whether human-operated or AI-driven, are anthropomorphic digital characters that engage users through computer-mediated communication. Recent advancements in artificial intelligence have accelerated the adoption of avatars in marketing and led to a surge in related research. However, a gap remains in integrating interdisciplinary insights into a cohesive marketing framework using objective methods. This systematic review synthesizes 203 publications from the Web of Science (2009-2023) to bridge this gap. First, a bibliometric network visualization charts the evolution of avatar-related research. Second, a citation network analysis identifies seven distinct research domains. Third, a main-path analysis systematically maps the knowledge structure within each domain. Notably, "anthropomorphism" has emerged as a dominant theme, reflecting a shift toward avatars with increasingly human-like traits. The review concludes by outlining future research directions within the seven research domains, proposing a four-phase, seven-domain avatar marketing framework, and offering valuable insights for both scholars and practitioners.-
dc.format.extent20-
dc.language영어-
dc.language.isoENG-
dc.publisherLawrence Erlbaum Associates Inc.-
dc.titleFrom Humanoid to Virtual Humans: A Systematic Literature Review of Avatar Marketing-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1080/10447318.2025.2464889-
dc.identifier.scopusid2-s2.0-105002261506-
dc.identifier.wosid001458027600001-
dc.identifier.bibliographicCitationInternational Journal of Human-Computer Interaction, v.41, no.20, pp 12602 - 12621-
dc.citation.titleInternational Journal of Human-Computer Interaction-
dc.citation.volume41-
dc.citation.number20-
dc.citation.startPage12602-
dc.citation.endPage12621-
dc.type.docTypeArticle; Early Access-
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.keywordPlusCITATION NETWORK-
dc.subject.keywordPlusCONVERSATIONAL AGENT-
dc.subject.keywordPlusMEASURING USABILITY-
dc.subject.keywordPlusSELF-DISCLOSURE-
dc.subject.keywordPlusANTHROPOMORPHISM-
dc.subject.keywordPlusMANAGEMENT-
dc.subject.keywordPlusIMPACT-
dc.subject.keywordPlusINFORMATION-
dc.subject.keywordPlusFUTURE-
dc.subject.keywordPlusSATISFACTION-
dc.subject.keywordAuthorAvatar-
dc.subject.keywordAuthoranthropomorphism-
dc.subject.keywordAuthorartificial intelligence-
dc.subject.keywordAuthorhuman-computer interaction-
dc.subject.keywordAuthorsystematic literature review-
dc.subject.keywordAuthorcitation network analysis-
dc.subject.keywordAuthormain path analysis-
dc.identifier.urlhttps://www.tandfonline.com/doi/full/10.1080/10447318.2025.2464889-
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