From Humanoid to Virtual Humans: A Systematic Literature Review of Avatar Marketing
- Authors
- Qu, Ying; Lo, 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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