@InProceedings{GermanBarquero2022,
author="German Barquero
and Johnny Nu{\~n}ez
and Sergio Escalera
and Zhen Xu
and Wei-Wei Tu
and Isabelle Guyon",
title="Didn{\textquoteright}t see that coming: a survey on non-verbal social human behavior forecasting",
booktitle="Understanding Social Behavior in Dyadic and Small Group Interactions",
year="2022",
volume="173",
pages="139--178",
abstract="Non-verbal social human behavior forecasting has increasingly attracted the interest of the research community in recent years. Its direct applications to human-robot interaction and socially-aware human motion generation make it a very attractive field. In this survey, we define the behavior forecasting problem for multiple interactive agents in a generic way that aims at unifying the fields of social signals prediction and human motion forecasting, traditionally separated. We hold that both problem formulations refer to the same conceptual problem, and identify many shared fundamental challenges: future stochasticity, context awareness, history exploitation, etc. We also propose a taxonomy that comprisesmethods published in the last 5 years in a very informative way and describes the current main concerns of the community with regard to this problem. In order to promote further research on this field, we also provide a summarized and friendly overview of audiovisual datasets featuring non-acted social interactions. Finally, we describe the most common metrics used in this task and their particular issues.",
optnote="HuPBA; no proj",
optnote="exported from refbase (http://158.109.8.37/show.php?record=3766), last updated on Thu, 20 Apr 2023 13:29:36 +0200",
opturl="https://proceedings.mlr.press/v173/"
}