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人类观察的神经科学:人类大脑如何理解他人的遭遇。

The neuroscience of people watching: how the human brain makes sense of other people's encounters.

机构信息

School of Experimental Psychology, University of Bristol, Bristol, United Kingdom.

School of Psychology, Bangor University, Bangor, United Kingdom.

出版信息

Ann N Y Acad Sci. 2017 May;1396(1):166-182. doi: 10.1111/nyas.13331. Epub 2017 Apr 12.

Abstract

Neuroscientific investigations interested in questions of person perception and impression formation have traditionally asked their participants to observe and evaluate isolated individuals. In recent years, however, there has been a surge of studies presenting third-party encounters between two (or more) individuals as stimuli. Owing to this subtle methodological change, the brain's capacity to understand other people's interactions and relationships from limited visual information--also known as people watching--has become a distinct topic of inquiry. Though initial evidence indicates that this capacity relies on several well-known networks of the social brain (including the person-perception network, the action-observation network, and the mentalizing network), a comprehensive framework of people watching must overcome three major challenges. First, it must develop a taxonomy of judgments that people habitually make when witnessing the encounters of others. Second, it must clarify which visual cues give rise to these encounter-based judgments. Third, it must elucidate how and why several brain networks work together to accomplish these judgments. To advance all three lines of research, we summarize what is currently known as well as what remains to be studied about the neuroscience of people watching.

摘要

神经科学研究对人物感知和印象形成的问题很感兴趣,传统上要求参与者观察和评估孤立的个体。然而,近年来,出现了大量以两个人(或更多人)之间的第三方相遇作为刺激的研究。由于这种微妙的方法学变化,大脑从有限的视觉信息中理解他人互动和关系的能力——也被称为观察他人——已成为一个独特的研究课题。尽管初步证据表明,这种能力依赖于几个已知的社会大脑网络(包括人物感知网络、动作观察网络和心理化网络),但全面的观察他人框架必须克服三个主要挑战。首先,它必须开发出一套人们在观察他人相遇时习惯做出的判断分类法。其次,它必须阐明哪些视觉线索引起了这些基于相遇的判断。第三,它必须阐明几个大脑网络如何以及为什么协同工作来完成这些判断。为了推进这三个研究方向,我们总结了目前关于观察他人的神经科学的已知内容和仍待研究的内容。

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