没想到会这样：一项关于非语言社会人类行为预测的调查
Didn't see that coming: a survey on non-verbal social human behavior forecasting
摘要：
近年来，非语言社会人类行为预测越来越引起研究界的兴趣。它直接应用于人机交互和社会意识的人体运动生成，使其成为一个非常有吸引力的领域。在这项调查中，我们定义的行为预测问题的多个交互式代理的通用方式，旨在统一的社会信号预测和人体运动预测，传统上分离的领域。我们认为，这两个问题的配方是指相同的概念问题，并确定许多共同的基本挑战：未来的随机性，上下文意识，历史利用等，我们还提出了一个分类，包括在过去5年中发表的方法，在一个非常翔实的方式，并介绍了目前的主要关注的社会关于这个问题。为了促进对这一领域的进一步研究，我们还提供了一个总结和友好的概述，视听数据集具有非行为的社会互动。最后，我们描述了在这项任务中使用的最常见的指标及其特定的问题。
英文摘要：
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 comprises methods 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 summarised 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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
