Features vs Prototypes: Amplifying Cognition with Common Data Graphics

M. Migut, M. Worring
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Abstract

The most common and important data visualizations, such as barcharts or scatterplots are typically feature-based. In this paper we question whether feature-based representations are favorable from the cognition point of view. We show through the examples how the notion of prototypes can be introduced and discuss based on Card's taxonomy how feature- and prototype-based representations amplify cognition.
特征vs原型:用通用数据图形放大认知
最常见和最重要的数据可视化,如柱状图或散点图,通常是基于特征的。在本文中,我们从认知的角度质疑基于特征的表示是否有利。我们通过例子展示了原型的概念是如何引入的,并根据Card的分类法讨论了基于特征和原型的表征是如何放大认知的。
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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