This paper introduces the DeEvA platform for the gener- ation of virtual characters. The platform generates virtual characters using personality traits as input. The generation process is conceived to generate characters whose physical appearance responds to people's expectations. Characters generated using the platform can be used as believable Embodied Conversational Agents in interactive applications. The platform uses a combination of crowdsourcing techniques: Reverse Correlation and Interactive Genetic Algorithms. This paper describes the method as well as three working examples.
['Fabrizio Nunnari', 'Alexis Heloir']
DeEvA, a Depot of Evolving Avatars