Conscious observational behavior in recognizing landmarks in facial expressions.

ABSTRACT: The present study investigated (1) how well humans can recognize facial expressions represented by a small set of landmarks, a commonly used technique in facial recognition in machine learning and (2) differences in conscious observational behaviors to recognized different types of expressions. Our video stimuli consisted of facial expression represented by 68 landmark points. Conscious observational behaviors were measured by movements of the mouse cursor where a small area around it was only visible to participants. We constructed Bayesian models to analyze how personality traits and observational behaviors influenced how participants recognized different facial expressions. We found that humans could recognize positive expressions with high accuracy, similar to machine learning, even wh

SUBMITTER: Xu K 

PROVIDER: S-EPMC10550163 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature