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《山东大学学报(理学版)》 ›› 2026, Vol. 61 ›› Issue (6): 51-63.doi: 10.6040/j.issn.1671-9352.0.2026.004

• • 上一篇    

复杂可视化环境下的色彩差异感知验证与分析

黄薏霖1,2,胡柞润1,汪云海3,刘姝2,曾琼1*   

  1. 1.山东大学计算机科学与技术学院&山东省算网融合理论与技术重点实验室, 山东 青岛 266237;2.中南大学计算机学院, 湖南 长沙 410083;3.中国人民大学信息学院, 北京 100872
  • 发布日期:2026-06-04
  • 通讯作者: 曾琼(1987— ),女,博士,教授,研究方向为可视化与计算机图形学. E-mail:qiong.zn@sdu.edu.cn
  • 作者简介:黄薏霖(2002— ),女,硕士研究生,研究方向为多模态情绪识别. E-mail:yilin10@csu.edu.cn*通信作者:曾琼(1987— ),女,博士,教授,研究方向为可视化与计算机图形学. E-mail:qiong.zn@sdu.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(62372271,62132017);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)

Revisiting color differences modeling for complex visualizations

HUANG Yilin1,2, HU Zuorun1, WANG Yunhai3, LIU Shu2, ZENG Qiong1*   

  1. 1. School of Computer Science and Technology &
    Shandong Provincial Key Laboratory of Computing-Network Integration, Shandong University, Qingdao 266237, Shandong, China;
    2. School of Computer Science and Engineering, Central South University, Changsha 410083, Hunan, China;
    3. School of Information Resource Management, Renmin University of China, Beijing 100872, China
  • Published:2026-06-04

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摘要： 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。

关键词: 色差感知, 色差建模, 众包实验, 数据可视化

Abstract: 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 scatterplots, 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.

Key words: color difference perception, color difference modeling, crowdsourcing experiments, data visualization

中图分类号: 

  • TP391
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