Title: Investigating the sensorimotor basis of human communication

Abstract: Disembodied automated systems cannot reach human-like performance when dealing with the decoding of human non-verbal communicative signals. Automated systems, in fact, rarely exploit human brain/body solutions. All attempts that do not take this fact into account are bound to be unreliable in variable environments, to fail in generalizing to new examples and to be unable to scale up to solve more complex problems. For this very reason, I will first report basic neurophysiological studies dedicated to the description of the basic mechanisms of inter-individual sensorimotor communication. I will then move to the discussion of current attempts to quantify sensorimotor information flow among interacting participant and finally propose a roadmap to build better computational tools to decode human sensorimotor communication.