研究发现人们选降维图更看颜值，而非结构准确性。
Understanding Bias in Perceiving Dimensionality Reduction Projections
- 通过用户实验发现，视觉吸引力影响降维投影选择
- 彩色标签和短观看时间会加剧这种偏见
- 为可视化分析提供减少主观偏见的策略
选择能忠实反映数据结构的降维方法对可靠可视化与分析至关重要。然而，实践中从业者往往更青睐具有美学吸引力或视觉突出性的投影，而非结构保真度，这种倾向我们称为视觉趣味性偏差。本研究通过用户实验验证了该偏差的存在，并解释其成因。结果表明，视觉趣味性会影响从业者对投影的选择偏好，且在使用彩色标签及观看时间较短时，这种偏差更为显著。基于研究发现，本文讨论了减轻降维投影感知与解读中偏差的策略。
原文摘要 · Abstract (English)
Selecting the dimensionality reduction technique that faithfully represents the structure is essential for reliable visual communication and analytics. In reality, however, practitioners favor projections for other attractions, such as aesthetics and visual saliency, over the projection's structural faithfulness, a bias we define as visual interestingness. In this research, we conduct a user study that (1) verifies the existence of such bias and (2) explains why the bias exists. Our study suggests that visual interestingness biases practitioners' preferences when selecting projections for analysis, and this bias intensifies with color-encoded labels and shorter exposure time. Based on our findings, we discuss strategies to mitigate bias in perceiving and interpreting DR projections.
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