Date of Award


Document Type


Degree Name

Master of Fine Arts (MFA)


Digital Production Arts

Committee Chair/Advisor

Eric Patterson

Committee Member

Rodney Costa

Committee Member

Jerry Tessendorf


The ability to read other human's faces is a crucial part of everyday life. Subconsciously, the human brain analyzes someone's face within the first few seconds of seeing it, making a variety of conclusions ~\cite{FacePerp} such as gathering information about emotional state and assuming character traits this person might possess. The purpose of this thesis is to create a tool that allows a user to alter features of a character's three dimensional (3D) face mesh to look increasingly or decreasingly like the character possesses certain personality traits. Using a sample set of randomly generated faces, a survey is conducted to rate if the given face, or associated character, possesses a set of chosen characteristics. The characteristics included in this study, i.e. trustworthiness, were chosen based on previous studies investigating the association of facial attributes to personality traits based solely on rapid visual appraisal. Resulting character face meshes produced with the presented work exhibit the same character identity but with perceived traits amplified or decreased. This may be useful in production as a tool to design character faces with particular traits in mind, leveraging human bias of viewers or players.



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