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Gestalt Principles in Multimodal Data Representation

机译:多峰数据表示中的格式塔原理

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摘要

Data visualization is a powerful tool to communicate data in a clear, digestible format through graphical means. To be effective, however, form and function need to work in tandem, filtering layers of noise to reveal the key aspects of the analyzed data. Indeed, this could prove to be sufficient in discovering already known patterns. Still, the search for undiscovered patterns would require the full dataset to be presented as a whole, which bears the risk of sensory overload. Human sensory systems function as a systemic unit in relation to one another, dynamically sampling the signals around us to give a concise scene analysis. To decipher a complex, multidimensional dataset, a representational system that is able to reproduce the layers of information through different stimulations would be required. This article explores the possibilities of using multimodal data representation as a method to communicate multidimensional data, guided by the principles of Gestalt psychology. Point Cloud, an artwork that implements such explorations through the visualization and sonification of lightning data is presented as an application of this research. The Web extra can be found at http://youtu.be/pQtxsvgv80E.
机译:数据可视化是一种强大的工具,可通过图形方式以清晰易懂的格式传达数据。但是,要使其有效,形式和功能需要协同工作,过滤噪声层以揭示分析数据的关键方面。确实,这足以证明发现已知模式。尽管如此,对未发现模式的搜索仍需要将完整的数据集作为一个整体呈现,这会带来感觉超载的风险。人体感觉系统彼此之间是一个系统单元,可以动态采样周围的信号以进行简洁的场景分析。为了解密复杂的多维数据集,将需要一个能够通过不同刺激来再现信息层的表示系统。本文探讨了在格式塔心理学原理的指导下,使用多模式数据表示作为交流多维数据的方法的可能性。点云,通过闪电数据的可视化和声处理实现了这种探索的艺术品被作为这项研究的应用。可以在http://youtu.be/pQtxsvgv80E中找到有关Web的附加内容。

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