Social perception inferences of computer-generated faces: an Asian Indian and United States cultural comparison.

Results from research with computer-generated faces have demonstrated that participants are able to make different trait inferences to different generated faces. However, only a few studies using computer-generated faces with cross-cultural samples have been done. This study compared the facial trait inference results from India and the United States, using three validated neutral expression computer-generated faces from the University of Chicago Perception and Judgment Lab database as facial stimuli.

Corrigendum: Facial expressions and emotion labels are separate initiators of trait inferences from the face.

[This corrects the article DOI: 10.3389/fpsyg.2021.

Facial Expressions and Emotion Labels Are Separate Initiators of Trait Inferences From the Face.

Facial inferencing research began with an inadvertent confound. The initial work by Paul Ekman and Wallace Friesen identified the six now-classic facial expressions by the emotion labels chosen by most participants: anger, disgust, fear, happiness, sadness, and surprise. These labels have been used by most of the published facial inference research studies over the last 50 years.