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Distributed Cognition in Online Generative Collectives: Enabling Collective Generative Capacity through Reflections, Interactions and Representations

机译:在线生成集体中的分布式认知:通过反思,互动和陈述实现集体生成能力

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Analyzing online group activities against the backdrop of an increasingly connected world, this empirical paper extends the concept of "distributed cognition" as a theoretical lens for explaining why some Internet-based collectives are more generative than others. These so-called Internet-based generative collectives—groups of people with shared interests or goals who mutually engage in generative acts—evolve around three processes of distributed cognition, namely reflection, interaction, and representation. Using Q-methodology, the relations between these three dimensions of distributed cognition and the generative capacity of Internet-based collectives is explored. The findings of a Q-factor analysis reveal that processes of distributed cognition lie at the heart of generative collectives. Furthermore, depending on how enabling the underlying structure and available technology of a collective is, an environment emerges in which the processes of interaction, reflection, and representation can flourish, thereby maximizing the collective's generative capacity. Finally, implications for practice and future research are discussed.
机译:这种实证纸张对越来越有联系的世界的背景下的在线集团活动,将“分布式认知”的概念扩展为理论镜头,以解释为什么某些基于互联网的集体比其他人更具代理。这些所谓的基于互联网的生成集体集体 - 具有共同兴趣或目标的人群,互相参与生成的行为 - 在分布式认知的三个过程中发展,即反思,互动和代表性。探讨了Q方法,探讨了分布式认知的这三个维度与基于互联网集体的生成能力的关系。 Q因子分析的发现表明,分布式认知的过程位于生成集体的核心。此外,根据如何实现集体的底层结构和可用技术是如何,互动,反射和表示的过程可以蓬勃发展,从而最大化集体的生成能力。最后,讨论了对实践和未来研究的影响。

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