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Embodied conversational agents still do not achieve the fluidity and smoothness of natural conversational interaction. One main reason is that current system often respond with big latencies and in inflexible ways. We argue that to overcome these problems, real-time conversational agents need to be based on an underlying architecture that provides two essential features for fast and fluent behavior adaptation: A close bi-directional coordination between input processing and output generation,doi:10.1007/s12193-013-0130-3 fatcat:h4mqle2vwjcm3ayvaer7wljosm