What's in a face: Automatic facial coding of untrained study participants compared to standardized inventories.

ABSTRACT: Automatic facial coding (AFC) is a novel research tool to automatically analyze emotional facial expressions. AFC can classify emotional expressions with high accuracy in standardized picture inventories of intensively posed and prototypical expressions. However, classification of facial expressions of untrained study participants is more error prone. This discrepancy requires a direct comparison between these two sources of facial expressions. To this end, 70 untrained participants were asked to express joy, anger, surprise, sadness, disgust, and fear in a typical laboratory setting. Recorded videos were scored with a well-established AFC software (FaceReader, Noldus Information Technology). These were compared with AFC measures of standardized pictures from 70 trained actors (i.e., stand

SUBMITTER: Hofling TTA 

PROVIDER: S-EPMC8893617 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature