期刊
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
卷 131, 期 -, 页码 806-833出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neubiorev.2021.08.014
关键词
Socio-Motor interaction; Joint action; Cooperation; Emotion; Affective computing; HCI; HRI; Synchronization; Coupling; Machine learning; Artificial intelligence; Multiple timescales; Multi-modal propagation; Models of human behavior
资金
- EU Horizon 2020 FET PROACTIVE [824160]
This article discusses the relationship between individual emotions and joint actions, pointing out the neglect of multi-agent factors in neuroscience research, proposing an integrative approach to bridge the gap, and highlighting five research directions in behavioral neuroscience and digital sciences.
Our daily human life is filled with a myriad of joint action moments, be it children playing, adults working together (i.e., team sports), or strangers navigating through a crowd. Joint action brings individuals (and embodiment of their emotions) together, in space and in time. Yet little is known about how individual emotions propagate through embodied presence in a group, and how joint action changes individual emotion. In fact, the multi-agent component is largely missing from neuroscience-based approaches to emotion, and reversely joint action research has not found a way yet to include emotion as one of the key parameters to model socio-motor interaction. In this review, we first identify the gap and then stockpile evidence showing strong entanglement between emotion and acting together from various branches of sciences. We propose an integrative approach to bridge the gap, highlight five research avenues to do so in behavioral neuroscience and digital sciences, and address some of the key challenges in the area faced by modern societies.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据