Computing technologies for social signals

Abstract

Social signal processing is the domain aimed at modelling, analysis and synthesis of nonverbal communication in human–human and human–machine interactions. The core idea of the field is that common nonverbal behavioural cues—facial expressions, vocalizations, gestures, postures, etc—are the physical, machine-detectable evidence of social phenomena such as empathy, conflict, interest, attitudes, dominance, etc. Therefore, machines that can automatically detect, interpret and synthesize social signals will be capable to make sense of the social landscape they are part of while, possibly, participating in it as full social actors