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Generating Virtual Characters from Personality Traits via Reverse Correlation and Linear Programming

Abstract : This paper presents a system which generates a virtual character defined along three personality traits: Dominance, Trustworthiness, and Agreeableness. From these three traits, 14 surface physical attributes of the target character are automatically inferred. The configuration of our system accounts for an initial training phase, based on a reverse correlation experiment, from which we infer a multivariate linear model explaining the relationship between the perception of the three personality traits and the 14 physical attributes. The inverse model -- solved using linear programming -- allows for the real-time generation of virtual characters from an input personality profile.
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https://hal-uphf.archives-ouvertes.fr/hal-03388455
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Submitted on : Wednesday, October 20, 2021 - 2:15:39 PM
Last modification on : Wednesday, November 3, 2021 - 4:43:29 AM

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  • HAL Id : hal-03388455, version 1

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Fabrizio Nunnari, Alexis Heloir. Generating Virtual Characters from Personality Traits via Reverse Correlation and Linear Programming. Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2017, May 2017, Sao Paulo, Brazil. pp. 1661-1663. ⟨hal-03388455⟩

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