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颜色-人因子:通过色彩视觉配置文件对可视化感知和可访问性的实证评估
IEEE transactions on visualization and computer graphics
|November 25, 2025
概括
彩色视觉缺陷 (CVD) 在数据可视化中造成障碍. 这项研究表明,虽然模拟显示了一些感知转变,但心血管疾病的真实用户经历了崩,并且更多地依赖结构和情绪,而不是仅仅依赖颜色来理解可视化.
科学领域:
- 数据可视化 数据可视化
- 人与计算机的交互
- 感知 感知 感知 感知
背景情况:
- 颜色对于数据可视化至关重要,但对于有色视障碍 (CVD) 的人来说,它也带来了挑战.
- 现有的可访问性解决方案通常依赖于颜色校正或模拟,这可能无法完全捕捉用户体验.
研究的目的:
- 调查心血管疾病患者和没有心血管疾病患者如何感知现实世界的数据可视化.
- 了解心血管疾病患者使用的解释性分解和适应性策略.
- 为包容性数据可视化制定基于证据的设计建议.
主要方法:
- 进行了三项研究:评价正常视力参与者的可视化 (研究1),收集被诊断为心血管疾病的参与者的反应 (研究2),并与心血管疾病用户进行深入采访 (研究3).
- 红/绿色色盲版本的模拟与原始可视化一起使用.
- 因子分析确定了关键的感知维度,定性数据探索了用户体验.
主要成果:
- 色盲模拟捕捉了一些感知转变,但错过了真正的CVD用户报告的关键解释性崩和情绪体验.
- 两个主要的感知维度出现了:功能效用和情感体验.
- 当颜色不可靠时,心血管疾病用户优先考虑结构线索和情感共振,而不是颜色,与专注于功能清晰度的正常视力用户不同.
结论:
- 数据可视化中的可访问性不仅仅需要颜色校正;它需要结构清晰,冗余编码和布局支架.
- 由于颜色干扰,缺少冗余编码或缺乏布局支持而发生感知崩.
- 包容性设计实践应包括真实用户验证,并专注于结构完整性以及颜色考虑,以实现有效的视觉沟通.
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