A crowdsourcing toolbox for a user-perception based design of social virtual actors

One of the key challenges in the development of social virtual actors is to give them the capability to display socio-emotional states through their non-verbal behavior. Based on studies in human and social sciences or on annotated corpora of human expressions, different models to synthesize virtual agent’s non-verbal behavior have been developed. One of the major issues in the synthesis of behavior using a corpus-based approach is collecting datasets, which can be difficult, time consuming and expensive to collect and annotate. A growing interest in using crowdsourcing to collect and annotate datasets has been observed in recent years. In this paper, we have implemented a toolbox to easily develop online crowdsourcing tools to build a corpus of virtual agent’s non-verbal behaviors directly rated by users. We present two developed online crowdsourcing tools that have been used to construct a repertoire of virtual smiles and to define virtual agents’ non-verbal behaviors associated to social attitudes.