Smiling virtual agent in social context
A smile may communicate different communicative intentions depending on subtle characteristics of the facial expression. In this article, we propose an algorithm to determine the morphological and dynamic characteristics of virtual agents smiles of amusement, politeness, and embarrassment. The algorithm has been defined based on a virtual agents smiles corpus constructed by users and analyzed with a decision tree classification technique. An evaluation, in different contexts, of the resulting smiles has enabled us to validate the proposed algorithm.
smile virtual agent facial expression amusement politeness embarrassment