Publikation
Exploiting Reverse Correlation for the Generation of Virtual Characters from Personality Traits
Fabrizio Nunnari; Alexis Heloir
In: 7th International Conference on Intelligent Technologies for Interactive Entertainment. Conference on INtelligent TEchnologies for interactive enterTAINment (INTETAIN), 7th, June 10-12, Turin, Italy, IEEE, 8/2015.
Zusammenfassung
Judging from appearance, most people assign personality
traits to virtual characters. This paper presents a
platform capable of generating online Reverse Correlation experiments
for studying the relations between the appearance of virtual
characters and their assumed personality. The method used
by the platform, which leverages crowdsourcing and interactive
genetic algorithms, can be used to generate virtual characters
starting from a description of their personality. The platform
requires a training phase to gather the beliefs and convictions
that people have when judging a person from his/her appearance.
The method is validated through two experiments. The first
experiment provides evidence on how effective the method is in
improving the mapping through genetic evolution. The second
experiment illustrates how the method relates to the technique of
Reverse Correlation to infer which physical attributes contribute
to the perception of a specific trait.