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分布式认知:信息可视化的理论框架

Distributed cognition as a theoretical framework for information visualization.

作者信息

Liu Zhicheng, Nersessian Nancy, Stasko John

机构信息

School of Interactive Computing, Georgia Institute of Technology.

出版信息

IEEE Trans Vis Comput Graph. 2008 Nov-Dec;14(6):1173-80. doi: 10.1109/TVCG.2008.121.

Abstract

Even though information visualization (InfoVis) research has matured in recent years, it is generally acknowledged that the field still lacks supporting, encompassing theories. In this paper, we argue that the distributed cognition framework can be used to substantiate the theoretical foundation of InfoVis. We highlight fundamental assumptions and theoretical constructs of the distributed cognition approach, based on the cognitive science literature and a real life scenario. We then discuss how the distributed cognition framework can have an impact on the research directions and methodologies we take as InfoVis researchers. Our contributions are as follows. First, we highlight the view that cognition is more an emergent property of interaction than a property of the human mind. Second, we argue that a reductionist approach to study the abstract properties of isolated human minds may not be useful in informing InfoVis design. Finally we propose to make cognition an explicit research agenda, and discuss the implications on how we perform evaluation and theory building.

摘要

尽管信息可视化(InfoVis)研究近年来已趋于成熟,但人们普遍认为该领域仍缺乏支持性的、全面的理论。在本文中,我们认为分布式认知框架可用于充实InfoVis的理论基础。我们基于认知科学文献和一个现实生活场景,突出了分布式认知方法的基本假设和理论结构。然后,我们讨论分布式认知框架如何能够对我们作为InfoVis研究者所采用的研究方向和方法产生影响。我们的贡献如下。第一,我们强调认知更多是互动的一种涌现属性而非人类心智的属性这一观点。第二,我们认为用还原论方法研究孤立人类心智的抽象属性可能对InfoVis设计并无助益。最后,我们提议将认知作为一个明确的研究议程,并讨论其对我们进行评估和理论构建方式的影响。

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