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From Humanoid to Virtual Humans: A Systematic Literature Review of Avatar Marketing
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Qu, Ying | - |
| dc.contributor.author | Lo, Chris K. Y. | - |
| dc.contributor.author | Baek, Eunsoo | - |
| dc.date.accessioned | 2025-12-30T02:00:16Z | - |
| dc.date.available | 2025-12-30T02:00:16Z | - |
| dc.date.issued | 2025-10 | - |
| dc.identifier.issn | 1044-7318 | - |
| dc.identifier.issn | 1532-7590 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210151 | - |
| dc.description.abstract | Avatars, 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.extent | 20 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Lawrence Erlbaum Associates Inc. | - |
| dc.title | From Humanoid to Virtual Humans: A Systematic Literature Review of Avatar Marketing | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1080/10447318.2025.2464889 | - |
| dc.identifier.scopusid | 2-s2.0-105002261506 | - |
| dc.identifier.wosid | 001458027600001 | - |
| dc.identifier.bibliographicCitation | International Journal of Human-Computer Interaction, v.41, no.20, pp 12602 - 12621 | - |
| dc.citation.title | International Journal of Human-Computer Interaction | - |
| dc.citation.volume | 41 | - |
| dc.citation.number | 20 | - |
| dc.citation.startPage | 12602 | - |
| dc.citation.endPage | 12621 | - |
| dc.type.docType | Article; Early Access | - |
| dc.description.isOpenAccess | N | - |
| 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 | CITATION NETWORK | - |
| dc.subject.keywordPlus | CONVERSATIONAL AGENT | - |
| dc.subject.keywordPlus | MEASURING USABILITY | - |
| dc.subject.keywordPlus | SELF-DISCLOSURE | - |
| dc.subject.keywordPlus | ANTHROPOMORPHISM | - |
| dc.subject.keywordPlus | MANAGEMENT | - |
| dc.subject.keywordPlus | IMPACT | - |
| dc.subject.keywordPlus | INFORMATION | - |
| dc.subject.keywordPlus | FUTURE | - |
| dc.subject.keywordPlus | SATISFACTION | - |
| dc.subject.keywordAuthor | Avatar | - |
| dc.subject.keywordAuthor | anthropomorphism | - |
| dc.subject.keywordAuthor | artificial intelligence | - |
| dc.subject.keywordAuthor | human-computer interaction | - |
| dc.subject.keywordAuthor | systematic literature review | - |
| dc.subject.keywordAuthor | citation network analysis | - |
| dc.subject.keywordAuthor | main path analysis | - |
| dc.identifier.url | https://www.tandfonline.com/doi/full/10.1080/10447318.2025.2464889 | - |
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