A Model of Motivation Based on Empathy for AI-Driven Avatars in Virtual Worlds

This paper presents a model of motivation based on empathy for artificial intelligence (AI)-driven avatars in virtual worlds. The model is theoretically inspired, based on understanding and sharing other peoplepsilas intentions. The AI architecture presented is aimed at providing an avatar with the capabilities of motivational coaching in learning situations. The model consists of two general modules for understanding and sharing motivation; understanding consists of shaping a model of the world while sharing consists of deciding the best course of action and reaction in the virtual world. The AI architecture and its associated algorithms are presented. Future areas for research are defined, including practical applications of this architecture for serious games and activities in virtual world applications.