Cognitive Model for Probability Density Distribution Uncertainty Visualization

Hu Ruoyu, Wang Xinyue, Wang Haiyan, Xue Chengqi
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Abstract

Many scholars have conducted research on how to visually express the uncertainty contained in data, so how users recognize and understand these visualizations has become a problem that needs to be explored. This paper studies the user's perception of probability under the triangular distribution and verifies the effectiveness of visualization using lightness gradient. We found that the participant’s perception probability of a test point has a strong correlation with the true value of the probability density of that point.
概率密度分布不确定性可视化的认知模型
许多学者对如何可视化地表达数据中所包含的不确定性进行了研究,因此用户如何识别和理解这些可视化已经成为一个需要探索的问题。研究了三角形分布下用户对概率的感知,验证了亮度梯度可视化的有效性。我们发现,参与者对测试点的感知概率与该点的概率密度的真实值有很强的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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