特征集成理论在基于符号的信息可视化中的应用

Zhuang Cai, Yi-Na Li, X. Zheng, Kang Zhang
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引用次数: 11

摘要

特征整合理论是经典的视觉注意模型,为优化视觉传达提供了理论基础。本文提出了一种名为RoseShape的图形集,旨在提高用户在可视化中的视觉信息搜索能力。RoseShapes集成了丰富且易于捕获的属性,用于映射数据变量,从而在预注意阶段实现自动和无意识的信息处理。2008年美国教育经费水平的案例研究验证了这种方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying feature integration theory to glyph-based information visualization
Feature integration theory, the classic visual attention model, provides a theoretical foundation for optimizing visual communication. This paper proposes a set of glyphs named RoseShape that aim at improving users' visual information search in visualization. RoseShapes integrate rich and easy-to-catch attributes for mapping data variables, enabling automatic and unconscious information processing in the pre-attentive stage. A case study illustrating the levels of education funding in the United States in 2008 validates the feasibility of this approach.
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