从物理到数字:设计超扫描调查以探索远程交流的理论-方法入门。

IF 1.7 4区 医学 Q4 NEUROSCIENCES Social Neuroscience Pub Date : 2024-07-23 DOI:10.1080/17470919.2024.2380725
Davide Crivelli, Michela Balconi
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引用次数: 0

摘要

随着人们越来越多地通过数字媒介进行社交互动,了解这种交流的神经科学基础成为一项严峻的挑战和宝贵的机遇。根据第二人称神经科学方法,了解数字互动过程中发生的人际合成形式对于掌握虚拟空间中成功协作的内在机制至关重要。超扫描范式涉及对多个互动个体的大脑和身体进行同步监测,似乎是揭示社交交流中人际合成的神经相关性的有力工具。我们认为,这种方法现在可以打开一扇新窗口,让人们了解互动者大脑对数字传递的社交线索的反应,从而深入了解在没有传统面对面环境的情况下,社交信息是如何被处理的。然而,这种范式的转变也提出了一些具有挑战性的方法问题,要想进行有意义、有信息量的超扫描研究,就必须正确地回答这些问题。在此,我们将介绍在自然环境中设计远程交流超扫描研究的新手所面临的核心方法论问题,重点是神经科学设备的选择、数据流的同步和数据分析方法。最后,我们将介绍一份方法论清单,用于设计稳健的数字互动超扫描研究。
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From physical to digital: A theoretical-methodological primer on designing hyperscanning investigations to explore remote exchanges.

As individuals increasingly engage in social interactions through digital mediums, understanding the neuroscientific underpinnings of such exchanges becomes a critical challenge and a valuable opportunity. In line with a second-person neuroscience approach, understanding the forms of interpersonal syntonisation that occur during digital interactions is pivotal for grasping the mechanisms underlying successful collaboration in virtual spaces. The hyperscanning paradigm, involving the simultaneous monitoring of the brains and bodies of multiple interacting individuals, seems to be a powerful tool for unravelling the neural correlates of interpersonal syntonisation in social exchanges. We posit that such approach can now open new windows on interacting brains' responses even to digitally-conveyed social cues, offering insights into how social information is processed in the absence of traditional face-to-face settings. Yet, such paradigm shift raises challenging methodological questions, which should be answered properly to conduct significant and informative hyperscanning investigations. Here, we provide an introduction to core methodological issues dedicated to novices approaching the design of hyperscanning investigations of remote exchanges in natural settings, focusing on the selection of neuroscientific devices, synchronization of data streams, and data analysis approaches. Finally, a methodological checklist for devising robust hyperscanning studies on digital interactions is presented.

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来源期刊
Social Neuroscience
Social Neuroscience 医学-神经科学
CiteScore
3.40
自引率
5.00%
发文量
36
审稿时长
6-12 weeks
期刊介绍: Social Neuroscience features original empirical Research Papers as well as targeted Reviews, Commentaries and Fast Track Brief Reports that examine how the brain mediates social behavior, social cognition, social interactions and relationships, group social dynamics, and related topics that deal with social/interpersonal psychology and neurobiology. Multi-paper symposia and special topic issues are organized and presented regularly as well. The goal of Social Neuroscience is to provide a place to publish empirical articles that intend to further our understanding of the neural mechanisms contributing to the development and maintenance of social behaviors, or to understanding how these mechanisms are disrupted in clinical disorders.
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