更多的什么? 概念和数值映射对解释色彩图数据可视化的解离效应
Alexis Soto1,2, Melissa A Schoenlein3,2, Karen B Schloss4,5
1Department of Integrative Biology, University of Wisconsin-Madison, 430 Lincoln Drive, Madison, WI, 53706, USA.
Cognitive research: principles and implications
|June 19, 2023
概括
人们根据颜色和位置来解释数据可视化,其意义主要是数字. 了解这些偏见是有效视觉沟通的关键.
科学领域:
- 数据可视化 数据可视化
- 认知科学 认知科学
- 人与计算机的交互
背景情况:
- 彩色地图通过将颜色映射到大小来视觉地表示数据.
- 解释色彩图依赖于用户的期望,例如暗是更多和高是更多的偏见.
- 之前的研究假设概念和数值大小对齐,简化了解释.
研究的目的:
- 调查用户在概念和数值大小冲突时如何解释色彩图.
- 要确定偏差 (暗是更多,高是更多) 是否基于数值或概念大小.
- 为设计更有效的数据可视化提供信息.
主要方法:
- 在各种数据领域 (外星动物,抗生素发现,公共卫生) 进行了五项实验.
- 向参与者展示了概念和数值大小被操纵的颜色图.
- 根据传说位置和颜色强度评估解释准确性和偏差坚持性.
主要成果:
- 高是更多偏差在概念层面上始终运行,无论数值大小如何.
- 黑暗是更多的偏见主要在概念层面上运行,但可能会受到数值大小的影响.
- 概念和数值大小之间的冲突影响了偏差操作,概念意义往往占主导地位.
结论:
- 数据含义 (概念大小) 在解释色彩图中起着至关重要的作用,经常取代数值.
- 视觉化设计应优先考虑传达准确的概念意义,以避免误解.
- 了解视觉数据解释中的认知偏见对于有效的沟通至关重要.
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