Multimodal Affect Recognition in Virtual Worlds: Avatars Mirroring User's Affect

摘要

Virtual worlds enable users' interactions through avatars. Avatars embody individual characteristics from their owners and exhibit those characteristics outward to the community. Motivated by the role of avatars in interpersonal communication, we integrated a generic real-time multimodal affect recognition hub as an input within an online virtual world to make an avatar mirror its owner's affect. Affect vectors (determined by pleasure, arousal, and dominance coordinates) in a continuous affective space are applied to characterize the user's affective state in real time.