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

Authors
Qu, YingLo, Chris K. Y.Baek, Eunsoo
Issue Date
Oct-2025
Publisher
Lawrence Erlbaum Associates Inc.
Keywords
Avatar; anthropomorphism; artificial intelligence; human-computer interaction; systematic literature review; citation network analysis; main path analysis
Citation
International Journal of Human-Computer Interaction, v.41, no.20, pp 12602 - 12621
Pages
20
Indexed
SCIE
SSCI
SCOPUS
Journal Title
International Journal of Human-Computer Interaction
Volume
41
Number
20
Start Page
12602
End Page
12621
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210151
DOI
10.1080/10447318.2025.2464889
ISSN
1044-7318
1532-7590
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.
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Baek, Eunsoo
COLLEGE OF HUMAN ECOLOGY (DEPARTMENT OF CLOTHING & TEXTILES)
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