A Fuzzy Model to Update the Affective State of Virtual Humans: An Approach Based on Personality

In this paper, we present a fuzzy mechanism to update in a more natural way the emotional and mood states of virtual humans. To implement this mechanism, we take into account the ten personality scales defined by Minnesota Multiphasic Personality Inventory to endow virtual humans with a real personality. In this manner, we apply different sets of fuzzy rules to change and regulate the affective state of virtual humans according to their personality, emotional and mood history, and the level of intensity of events they perceive from their environment.