Incorporating Uncertainty for Trustworthy Visualization

这个SGER项目关注的是将不确定性信息纳入可视化，以使可视化可信。我们将研究特别是在数据分析和可视化过程中引入的不确定性信息，并开发在数据可视化管道的所有阶段处理不确定性的方法，不仅包括存在不确定性的数据的可视化，而且还包括可视化方法，提供洞察不确定性本身的本质，以协助改进实验设计的发展。这项研究的好处有可能从根本上提高人们对不确定性数据的理解和决策能力。这个SGER项目的主要目标是为广泛的研究奠定基础。在这个为期一年的项目中，我们将首先研究和模拟3D或高维数据的2D可视化的感知不确定性和模糊性，以便创建更少模糊的精细可视化。我们提出的研究是独特而雄心勃勃的，因为我们试图通过考虑人类认知环境中不确定性的性质和影响以及代表性应用环境，将不确定性信息有效地纳入可视化和数据理解中。

This SGER project is concerned with incorporating uncertainty information into visualization to make the visualization trustworthy. We will study uncertainty information introduced particularly in the process of data analysis and visualization, and develop methods for working with uncertainty at all stages of the data visualization pipeline, including not only the visualization of data in the presence of uncertainty, but also visualization methods that provide insight into the nature of the uncertainty itself to assist in the development of improved experimental designs. The benefits of this research have the potential to providefundamental improvements in the ability to understand and make decisions based on data with uncertainty.The main objective of this SGER project is to set a foundation for extensive research. In this one-year project we will first study and model the perception uncertainty and ambiguity of 2D visualizations of 3D or high-dimensional data in order to create refined visualizations that are less ambiguous. The proposed research is unique and ambitious because we attempt to effectively incorporate uncertainty information into visualization and data understanding by considering both the nature and effect of uncertainty in the human cognition context as well as representative application contexts.