Generation of virtual characters from personality traits

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Abstract

We present a method to generate a virtual character whose physical attributes reflect public opinion of a given personality profile. An initial reverse correlation experiment trains a model which explains the perception of personality traits from physical attributes. The reverse model, solved using linear programming, allows for the real-time generation of virtual characters from an input personality. The method has been applied on three personality traits (dominance, trustworthiness, and agreeableness) and 14 physical attributes and verified through both an analytic test and a subjective study.

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Nunnari, F., & Heloir, A. (2017). Generation of virtual characters from personality traits. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10498 LNAI, pp. 301–314). Springer Verlag. https://doi.org/10.1007/978-3-319-67401-8_39

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