Researchers at Wright State University have been working on modeling computer agents with personality. Perception of personality between humans is based on many factors, one of which includes facial expression. Many researchers have explored the ability to recognize emotion in faces, while other research focuses on perception of personality based on faces (physiognomy). The purpose of this study combines these two areas of research to determine how participant's rate different personality dimensions based on emotional expression. Participants rated ten static computer faces on the 30 personality subtraits from the Big Five Factor model of personality. The results show that participants did rate personalities differently depending on the facial expression. Participants perceived similar personality traits between the two different faces that expressed the same emotion. Results will be discussed along with future research directions.

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