复杂可视化环境下的色彩差异感知验证与分析
Revisiting color differences modeling for complex visualizations
色彩作为一种重要的视觉编码元素,通常与点、线、面等图元共同表征抽象数据信息。色彩差异影响着可视化的可辨别性以及可读性。相关研究表明,人们感知色彩差异的过程受图元形状和大小的影响,但未阐明这一影响与复杂可视化环境中干扰色彩的关联程度。为此,本文在含有多种干扰色彩的复杂可视化环境中探索散点图、折线图、柱状图等不同可视化形式中的色彩差异感知情况。具体而言,本文生成十万余组具有不同干扰图元以及色彩差异的可视化图像,设计并实现用于验证复杂可视化环境下色彩差异感知的实验系统,基于Prolific众包平台采集用户色彩差异感知数据,多角度分析实验结果并构建不同干扰图元中的色彩差异模型。实验结果表明,可视化环境中的其它干扰色彩对于用户色彩差异感知具有影响,且这一影响与图元形状和大小有紧密关联。
Color, as an important visual encoding channel, is often used in conjunction with visual marks such as points, lines, and areas to represent abstract data. Color difference has great impact on the discriminability and readability of visualizations. Previous research has shown that color difference perception is influenced by the shape and size of graphical elements, yet the extent of this influence in relation to interfering markings remains under-explored. To address this, this paper explored the perception of color differences among various graphical elements within complex visualization environments containing interference colors. We generated data with different interference colors and visual elements (such as scatter plots, bar charts, and line charts), designed and implemented an experimental system to validate color difference perception in complex visualization contexts, conducted a crowdsourcing experiment on Prolific, and performed a multi-faceted analysis of the experimental results to construct color difference models among different visualization settings. Our experimental results demonstrated that interference colors had a significant impact on users' perception of color differences. Moreover, the perception of color differences between different interference colors was closely related to the shape and size of the graphical elements.
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国家自然科学基金面上项目(62372271)
国家自然科学基金面上项目(62132017)
国家自然科学基金联合重点项目(U2436209)
教育部人文社会科学青年基金项目(U25YJCZH090)
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