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First Impressions from Facial Images by Abraham Seco Armesto is a document available to read on EtoBox.

What is First Impressions from Facial Images about?

This study aimed to understand how people form first impressions from highly variable facial images. The researchers measured objective attributes like facial features and colors from a database of ambient face photos. They used neural networks to model how these attributes relate to factors like approachability, attractiveness, and dominance. A linear model based on this approach accounted for 58% of the variance in ratings of traits like trustworthiness for new faces. By visualizing how attributes change

Author

Abraham Seco Armesto

Language

EN