Avatar Expressiveness
Avatar Expressiveness is a computational construct that denotes the capacity of a digital avatar to convey nuanced emotional, cognitive, and social states through dynamic facial, gestural, and vocal modalities, thereby enabling perceived expressiveness distinct from static appearance or structural realism.
48
Publications
1.9K
Citations
188
Authors
79
Institutions
Publications per year
2017–2026
19
Parents
48
Real-time facial animation with image-based dynamic avatars
Chen Cao, Hongzhi Wu, Yanlin Weng et al. · ACM Transactions on Graphics · 2016 · 179 citations
Building Expression into Virtual Characters
Vinoba Vinayagamoorthy, Marco Gillies, Anthony Steed et al. · Goldsmiths (University of London) · 2006 · 132 citations · Full text
Arts, Visualization, 3D Modeling +12
Gentiane Venture, Dana Kulić · ACM Transactions on Human-Robot Interaction · 2019 · 81 citations
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Carnegie Mellon University
Pittsburgh, United States
3 h-index
8 publications
242 citations
Tsinghua University
Beijing, China
3 h-index
14 publications
682 citations

Zhejiang University
Hangzhou, China
3 h-index
9 publications
980 citations
Cardiff University
Cardiff, United Kingdom
1 h-index
1 publications
29 citations
Montreal Council on Foreign Relations
Montreal, Canada
1 h-index
1 publications
11 citations

Flinders University
Adelaide, Australia
1 h-index
3 publications
81 citations

Trinity College Dublin
Dublin, Ireland
1 h-index
3 publications
126 citations
University of Alabama
Tuscaloosa, United States
1 h-index
1 publications
83 citations
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TOG · 4 publications · 361 citations
4
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3 publications · 108 citations
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2 publications · 61 citations
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2 publications · 40 citations
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2 publications · 107 citations
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