A Generative Model of Cultural Face Attractiveness
Authors: 
Jiayu Zhan, Meng Liu, Oliver G. B. Garrod, Rachael E. Jack, Philippe G. SchynsAuthors Info & Claims
Jiayu Zhan, Meng Liu, Oliver G. B. Garrod, Rachael E. Jack, Philippe G. SchynsAuthors Info & ClaimsArticle No.: 58, Pages 1 - 3
Abstract
Equipping virtual agents with attractive face can facilitate human-machine interactions. Given the real-world diversity of human's aesthetic preference and the complexity of 3D face information that comprises high-dimensional shape and complexion variations, synthesizing attractive faces for virtual human is particularly challenging. Here, we addressed this challenge using a psychological data-driven approach that reverse engineers the attractive features perceived by human participants from the randomly generated faces that capture the nature distribution of multivariate 3D shape and 2D complexion variations in human population, separately for Western European and East Asian cultures. Our analysis revealed a set of features that can increase the attractiveness of faces in each culture, including their cultural idiosyncrasies. These human and culturally validated features can thus be synthesized on virtual agents to enhance their utility in practical applications.
References
[1]
Mounir Bashour. 2006. History and Current Concepts in the Analysis of Facial Attractiveness. Plastic and Reconstructive Surgery 118, 3 (Sept. 2006), 741--756. https://doi.org/10.1097/01.prs.0000233051.61512.65
[2]
Laura Germine, Richard Russell, P. Matthew Bronstad, Gabriëlla A. M. Blokland, Jordan W. Smoller, Holum Kwok, Samuel E. Anthony, Ken Nakayama, Gillian Rhodes, and Jeremy B. Wilmer. 2015. Individual Aesthetic Preferences for Faces Are Shaped Mostly by Environments, Not Genes. Current Biology 25, 20 (Oct. 2015), 2684--2689. https://doi.org/10.1016/j.cub.2015.08.048
[3]
Karl Grammer and Randy Thornhill. 1994. Human (Homo sapiens) facial attractiveness and sexual selection: The role of symmetry and averageness. Journal of Comparative Psychology 108, 3 (1994), 233--242. https://doi.org/10.1037/0735-7036.108.3.233
[4]
Iris J. Holzleitner, Anthony J. Lee, Amanda C. Hahn, Michal Kandrik, Jeanne Bovet, Julien P. Renoult, David Simmons, Oliver Garrod, Lisa M. DeBruine, and Benedict C.Jones. 2019. Comparing theory-driven and data-driven attractiveness models using images of real women's faces. Journal of Experimental Psychology: Human Perception and Performance 45, 12 (Dec. 2019), 1589--1595. https://doi. org/10.1037/xhp0000685
[5]
Johannes Hönekopp. 2006. Once more: Is beauty in the eye of the beholder? Relative contributions of private and shared taste to judgments of facial attractiveness. Journal of Experimental Psychology: Human Perception and Performance 32, 2 (2006), 199--209. https://doi.org/10.1037/0096-1523.32-2.199
[6]
Rachael E. Jack and Philippe G. Schyns. 2015. The Human Face as a Dynamic Tool for Social Communication. Current Biology 25, 14 (July 2015), R621-R634. https://doi.org/10.1016/j.cub.2015.05.052
[7]
Rabia Fatima Khan and Alistair Sutcliffe. 2014. Attractive Agents Are More Persuasive. International Journal of Human-Computer Interaction 30, 2 (Feb. 2014), 142--150. https://doi.org/10.1080/10447318.2013.839904 Publisher: Taylor & Francis _eprint: https://doi.org/10.1080/10447318.2013.839904.
[8]
Judith H. Langlois and Lori A. Roggman. 1990. Attractive Faces Are Only Average. Psychological Science 1, 2 (March 1990), 115--121. https://doi.org/10.1111/j.1467-9280.1990.tb00079.x Publisher: SAGE Publications Inc.
[9]
D. I. Perrett, K.J. Lee, I. Penton-Voak, D. Rowland, S. Yoshikawa, D. M. Burt, S. P. Henzi, D. L. Castles, and S. Akamatsu. 1998. Effects of sexual dimorphism on facial attractiveness. Nature 394, 6696 (Aug. 1998), 884--887. https://doi.org/10. 1038/29772 Number: 6696 Publisher: Nature Publishing Group.
[10]
Gillian Rhodes. 2006. The Evolutionary Psychology of Facial Beauty. Annual Review of Psychology 57, 1 (2006), 199--226. https://doi.org/10.1146/annurev. psych.57.102904.190208
[11]
Christopher P. Said and Alexander Todorov. 2011. A Statistical Model of Facial Attractiveness. Psychological Science 22, 9 (Sept. 2011), 1183--1190. https://doi. org/10.1177/0956797611419169 Publisher: SAGE Publications Inc.
[12]
Youssef Shiban, Iris Schelhorn, Verena Jobst, Alexander Hörnlein, Frank Puppe, Paul Pauli, and Andreas Mühlberger. 2015. The appearance effect: Influences of virtual agent features on performance and motivation. Computers in Human Behavior 49 (Aug. 2015), 5--11. https://doi.org/10.1016/j.chb.2015.01.077
[13]
Jiayu Zhan, Oliver G. B. Garrod, Nicola van Rijsbergen, and Philippe G. Schyns. 2019. Modelling face memory reveals task-generalizable representations. Nature Human Behaviour 3, 8 (Aug. 2019), 817--826. https://doi.org/10.1038/s41562-019-0625-3
[14]
Zhong Zhao, Robin N. Salesse, Mathieu Gueugnon, Richard C. Schmidt, Ludovic Marin, and Benoît G. Bardy. 2015. Moving attractive virtual agent improves interpersonal coordination stability. Human Movement Science 41 (June 2015), 240--254. https://doi.org/10.1016/j.humov.2015.03.012
Index Terms
- A Generative Model of Cultural Face Attractiveness
Recommendations
Advances in computational facial attractiveness methods
Attractiveness of a face plays an important role in many social endeavors. It influences careers like digital entertainment, modeling and acting, as well as person's career prospect, financial status, and personal relationships. Computational approaches ...
Computation of facial attractiveness from 3D geometry
AbstractThe face attractiveness from 3D representation is still in the infancy stage. In this paper, we investigate the role of 3D face geometry in facial beauty perception. Driven by heuristic rules, the aesthetics-aware geometric features are extracted, ...
Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios
Analysis of attractiveness of faces has long been a topic of research. Literature has identified many different factors that can be related to attractiveness. In this research we analyze the role of symmetry, neoclassical canons, and golden ratio in the ...
Comments
Information & Contributors
Information
Published In
October 2020
394 pages
ISBN:9781450375863
DOI:10.1145/3383652
Copyright © 2020 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 19 October 2020
Check for updates
Author Tags
Qualifiers
- Extended-abstract
- Research
- Refereed limited
Funding Sources
- Wellcome Trust
- MURI
Conference
IVA '20
Sponsor:
IVA '20: ACM International Conference on Intelligent Virtual Agents
October 20 - 22, 2020
Scotland, Virtual Event, UK
Acceptance Rates
Overall Acceptance Rate 53 of 196 submissions, 27%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 305Total Downloads
- Downloads (Last 12 months)100
- Downloads (Last 6 weeks)14
Reflects downloads up to 28 Dec 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in