Date of Award
12-2022
Document Type
Thesis
Degree Name
Master of Fine Arts (MFA)
Department
Digital Production Arts
Committee Chair/Advisor
Eric Patterson
Committee Member
Rodney Costa
Committee Member
Jerry Tessendorf
Abstract
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.
Recommended Citation
Porter, Kara, "Transforming Character Faces based on Perceived Personality Traits" (2022). All Theses. 3946.
https://tigerprints.clemson.edu/all_theses/3946