Deducing a Believable Model for Affective Behavior from Perceived Emotional Data

Alexander Osherenko

erschienen 2008 "Proceedings of CAFFEi"


Recently, there has been considerable interest in building lifelike computer systems that manage a believable model for affective behavior. In this paper, we investigate an approach to deducing a probabilistic model for affective behavior from perceived emotional data that can be facilitated to build such systems. In addition, we discuss the obtained results and show potential opportunities for future work.