Publikation
Generating Virtual Characters from Personality Traits via Reverse Correlation and Linear Programming (Extended Abstract)
Fabrizio Nunnari; Alexis Heloir
In: AAMAS '17: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems. International Conference on Autonomous Agents and Multiagent Systems (AAMAS-17), May 8-12, São Paulo, Brazil, Pages 1661-1663, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 2017.
Zusammenfassung
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.