Explanatory Style for Socially Interactive Agents

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 drive a variety of training and entertainment applications. In contrast with work on emotion, where research groups have developed detailed models of emotional processes, models of personality have emphasized shallow surface behavior. Here, we build on computational appraisal models of emotion to better characterize dispositional differences in how people come to understand social situations. Known as explanatory style, this dispositional factor plays a key role in social interactions and certain socio-emotional disorders, such as depression. Building on appraisal and attribution theories, we model key conceptual variables underlying the explanatory style, and enable agents to exhibit different explanatory tendencies according to their personalities. We describe an interactive virtual environment that uses t...

• Type: Conference
• Year: 2007
• Where: ACII
• Authors: Sejin Oh, Jonathan Gratch, Woontack Woo
• Keywords: ACII 2007, Applied Computing, Characterize Dispositional Differences, Computational Appraisal Models, Explanatory Style