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首页> 外文期刊>IEEE transactions on visualization and computer graphics >Weaving Versus Blending: a quantitative assessment of the information carrying capacities of two alternative methods for conveying multivariate data with color.
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Weaving Versus Blending: a quantitative assessment of the information carrying capacities of two alternative methods for conveying multivariate data with color.

机译:编织与混合:定量评估两种用于传递带有颜色的多变量数据的替代方法的信息承载能力。

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摘要

In many applications, it is important to understand the individual values of, and relationships between, multiple related scalar variables defined across a common domain. Several approaches have been proposed for representing data in these situations. In this paper we focus on strategies for the visualization of multivariate data that rely on color mixing. In particular, through a series of controlled observer experiments, we seek to establish a fundamental understanding of the information-carrying capacities of two alternative methods for encoding multivariate information using color: color blending and color weaving. We begin with a baseline experiment in which we assess participants'' abilities to accurately read numerical data encoded in six different basic color scales defined in the L*a*b* color space. We then assess participants'' abilities to read combinations of 2, 3, 4 and 6 different data values represented in a common region of the domain, encoded using either color blending or color weaving. In color blending a single mixed color is formed via linear combination of the individual values in L*a*b* space, and in color weaving the original individual colors are displayed side-by-side in a high frequency texture that fills the region. A third experiment was conducted to clarify some of the trends regarding the color contrast and its effect on the magnitude of the error that was observed in the second experiment. The results indicate that when the component colors are represented side-by-side in a high frequency texture, most participants'' abilities to infer the values of individual components are significantly improved, relative to when the colors are blended. Participants'' performance was significantly better with color weaving particularly when more than 2 colors were used, and even when the individual colors subtended only 3 minutes of visual angle in the texture. However, the information-carrying capacity of the color weaving approach has its limits. -We f
机译:在许多应用中,了解跨公共域定义的多个相关标量变量的各个值以及它们之间的关系非常重要。已经提出了几种方法来表示这些情况下的数据。在本文中,我们专注于依赖颜色混合的多变量数据可视化策略。特别是,通过一系列受控的观察者实验,我们寻求对使用颜色编码多变量信息的两种替代方法的信息承载能力建立基本的了解:颜色混合和颜色编织。我们从基线实验开始,在该实验中,我们评估参与者准确读取以L * a * b *颜色空间定义的六个不同基本色标编码的数值数据的能力。然后,我们评估参与者读取使用色彩混合或色彩编织编码的域的公共区域中表示的2、3、4和6个不同数据值的组合的能力。在颜色混合中,通过L * a * b *空间中各个值的线性组合形成单一混合的颜色,在颜色编织中,原始的各个颜色在填充该区域的高频纹理中并排显示。进行了第三个实验,以弄清在第二个实验中观察到的有关颜色对比度及其对误差大小的影响的一些趋势。结果表明,当在高频纹理中并排显示成分颜色时,相对于混合颜色时,大多数参与者推断单个成分值的能力得到了显着提高。参与者的性能在进行颜色编织时明显更好,尤其是当使用两种以上的颜色时,甚至当单个颜色仅在纹理中具有3分钟的可视角度时。但是,彩色编织方法的信息承载能力有其局限性。 -我们

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