please cite the associated paper : "Evaluating the Sensitivity to Virtual Characters Facial Asymmetry in Emotion Synthesis" Journal Applied Artificial Intelligence (Taylor & Francis), 14 April 2017, doi:10.1080/08839514.2017.1299983 The reference to (Ahn et al, 2013) journal paper describes the technical approach for generating the (potentially asymmetric) facial expressions for the virtual characters. This work was supported by the EU FP7 CyberEmotions project (grant 231323) summarized in this short video: https://www.youtube.com/watch?v=o5ZnuZpz_ro

We conducted an experiment by presenting 64 pairs of static facial expressions, one symmetric and one asymmetric, illustrating eight emotions (three basic and five complex ones) alternatively for a male and a female character. Each emotion was presented four times by swapping the symmetric and asymmetric positions and by mirroring the asymmetrical expression. Participants were asked to grade, on a continuous scale, the correctness of each facial expression with respect to a short definition

{"references": ["J. Ahn, S. Gobron, D. Thalmann, R. Boulic,\"Asymmetric Facial Expressions: Revealing Richer Emotions for Embodied Conversational Agents\", Journal of Computer Animation and Virtual Worlds , 24(6) , 2013, DOI: 10.1002/CAV.1539, Wiley"]}