Assessing the Role of Facial Symmetry and Asymmetry between Partners in Predicting Relationship Duration: A Pilot Deep Learning Analysis of Celebrity Couples

Assessing the Role of Facial Symmetry and Asymmetry between Partners in Predicting Relationship Duration: A Pilot Deep Learning Analysis of Celebrity Couples

Prevailing studies on romantic relationships often emphasize facial symmetry as a factor in partner selection and marital satisfaction. This study aims to explore the inverse of this hypothesis—the relationship between facial dissimilarity and partnership duration among celebrity couples. Utilizing...

Full description

Bibliographic Details
Main Authors: Veronika Shavlokhova, Andreas Vollmer, Christian Stoll, Michael Vollmer, Gernot Michael Lang, Babak Saravi
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Symmetry
Subjects:
relationship duration
deep learning
machine learning
facial dissimilarity
facial similarity
celebrity couples
Online Access:https://www.mdpi.com/2073-8994/16/2/176

Internet

https://www.mdpi.com/2073-8994/16/2/176

Similar Items