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动作运动学的研究如何帮助我们理解人类社会互动?

How can the study of action kinematics inform our understanding of human social interaction?

机构信息

Institute of Cognitive Neuroscience, University College London, UK.

Institute of Cognitive Neuroscience, University College London, UK.

出版信息

Neuropsychologia. 2017 Oct;105:101-110. doi: 10.1016/j.neuropsychologia.2017.01.018. Epub 2017 Jan 21.

Abstract

The kinematics of human actions are influenced by the social context in which they are performed. Motion-capture technology has allowed researchers to build up a detailed and complex picture of how action kinematics vary across different social contexts. Here we review three task domains-point-to-point imitation tasks, motor interference tasks and reach-to-grasp tasks-to critically evaluate how these tasks can inform our understanding of social interactions. First, we consider how actions within these task domains are performed in a non-social context, before highlighting how a plethora of social cues can perturb the baseline kinematics. We show that there is considerable overlap in the findings from these different tasks domains but also highlight the inconsistencies in the literature and the possible reasons for this. Specifically, we draw attention to the pitfalls of dealing with rich, kinematic data. As a way to avoid these pitfalls, we call for greater standardisation and clarity in the reporting of kinematic measures and suggest the field would benefit from a move towards more naturalistic tasks.

摘要

人类动作的运动学受到其所处社会环境的影响。运动捕捉技术使研究人员能够详细而复杂地了解动作运动学在不同社会环境下的变化。在这里,我们回顾了三个任务领域——点对点模仿任务、运动干扰任务和伸手抓握任务——批判性地评估这些任务如何帮助我们理解社会互动。首先,我们考虑了这些任务领域中的动作在非社会环境下是如何执行的,然后强调了大量的社会线索如何扰乱基线运动学。我们表明,这些不同任务领域的发现有相当大的重叠,但也强调了文献中的不一致性及其可能的原因。具体来说,我们提请注意处理丰富的运动学数据的陷阱。为了避免这些陷阱,我们呼吁在报告运动学测量时更加标准化和清晰,并建议该领域将受益于向更自然的任务转变。

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