Abstract
Conveying an individual’s personality is difficult in online conversations, though opportunities for online communication will increase more. Adding information through the processing of facial expressions will become a solution for that. The aim of this study was to obtain statistical models representing associations between facial expressions and personality impressions, which is essential knowledge for processing facial expressions. We collected time-series data of facial movements from 9 professional actors performing self-introduction and processed the data according to Facial Action Coding System (FACS). We also collected personality impressions from 71 participants who watched movies of the actor’s self-introduction. We performed multiple regression analyses with a stepwise method. As a result, we obtained reasonable models for two of the personality impressions: extraversion and agreeableness. The results suggest that extraversion and agreeableness can be controlled by the visual processing of facial expressions.
