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Non-verbal social human behavior forecasting has increasingly attracted theinterest of the research community in recent years. Its direct applications tohuman-robot interaction and socially-aware human motion generation make it avery attractive field. In this survey, we define the behavior forecastingproblem for multiple interactive agents in a generic way that aims at unifyingthe fields of social signals prediction and human motion forecasting,traditionally separated. We hold that both problem formulations refer to thesame conceptual problem, and identify many shared fundamental challenges:future stochasticity, context awareness, history exploitation, etc. We alsopropose a taxonomy that comprises methods published in the last 5 years in avery informative way and describes the current main concerns of the communitywith regard to this problem. In order to promote further research on thisfield, we also provide a summarised and friendly overview of audiovisualdatasets featuring non-acted social interactions. Finally, we describe the mostcommon metrics used in this task and their particular issues.

Didn't see that coming: a survey on non-verbal social human behavior forecasting