Predicting Social Perception from Faces: A Deep Learning Approach

Understand

Warmth and competence represent the fundamental traits in social judgment that determine emotional reactions and behavioral intentions towards social targets.

• This research investigates whether an algorithm can learn visual representations of social categorization and accurately predict human perceivers' impressions of warmth and competence in face images.
• In addition, this research unravels which areas of a face are important for the classification of warmth and competence.
• We use Deep Convolutional Neural Networks to extract features from face images and the Gradient-weighted Class Activation Mapping (Grad CAM) method to understand the importance of face regions for the classification.