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Socially Interactive Agents (SIAs) are physical or virtual embodied agentsthat display similar behavior as human multimodal behavior. Modeling SIAs'non-verbal behavior, such as speech and facial gestures, has always been achallenging task, given that a SIA can take the role of a speaker or alistener. A SIA must emit appropriate behavior adapted to its own speech, itsprevious behaviors (intra-personal), and the User's behaviors (inter-personal)for both roles. We propose AMII, a novel approach to synthesize adaptive facialgestures for SIAs while interacting with Users and acting interchangeably as aspeaker or as a listener. AMII is characterized by modality memory encodingschema - where modality corresponds to either speech or facial gestures - andmakes use of attention mechanisms to capture the intra-personal andinter-personal relationships. We validate our approach by conducting objectiveevaluations and comparing it with the state-of-the-art approaches.

AMII: Adaptive Multimodal Inter-personal and Intra-personal Model for Adapted Behavior Synthesis