In emotion recognition, a widely-used method to reconciliate disagreement between multiple human evaluators is to perform majority-voting on their assigned class labels. Instead, ...
Whilst techniques for narrative generation and agent behaviour have made significant progress in recent years, natural language processing remains a bottleneck hampering the scala...
Fred Charles, David Pizzi, Marc Cavazza, Thurid Vo...
Recent years have seen an explosion of interest in computational models of socio-emotional processes, both as a mean to deepen understanding of human behavior and as a mechanism to...
We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor fea...
Conversational modeling requires an extended time commitment, and the difficulty associated with capturing the wide range of conversational stimuli necessitates extended user parti...
Shivashankar Halan, Brent Rossen, Juan Cendan, Ben...