The empathic visualisation algorithm (EVA) - an automatic mapping from abstract data to naturalistic visual structure

A. Loizides, M. Slater
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引用次数: 9

Abstract

This paper demonstrates a technique for visualising multidimensional data sets holistically. The EVA algorithm provides an automatic mapping from semantically important features of the data to emotionally or perceptually significant features of the corresponding visual structure (such as a face). In other words a single glance at the visual structure informs the observer of the global state of the data, since the visual structure has an emotional impact on the observer The visualisation is designed to correspond to the impact that would have been generated had the observer been able to access the relevant semantics of the underlying data.
共情可视化算法(EVA) -从抽象数据到自然视觉结构的自动映射
本文演示了一种整体可视化多维数据集的技术。EVA算法提供了从数据的语义重要特征到相应视觉结构(如人脸)的情感或感知重要特征的自动映射。换句话说,由于视觉结构对观察者有情感上的影响,因此对视觉结构的一瞥就可以告知观察者数据的全局状态。如果观察者能够访问底层数据的相关语义,那么可视化的设计将与产生的影响相对应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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