A Perceptual Visualization Architecture

该项目将对低层次人类视觉系统的优势和局限性进行基础调查。它将寻求识别人们可以快速看到的图像属性，测试这些属性如何相互作用，并确定如何利用这些属性。了解我们如何感知周围的世界将有利于许多研究领域，包括信息显示、图像生成、图像分析和视觉模拟。这个项目将把这些知识应用到计算机图形学的一个重要领域：大型、复杂、多维数据集的可视化。该领域的目标是设计可视化，以支持对此类复杂数据的快速和准确的探索和分析。要做到这一点，项目必须显示所有的数据，而不压倒观众的视觉系统。它将通过构建一个包括“可视化助手”在内的感知可视化架构来解决这个问题。这个助手将使用人工智能搜索技术来帮助观众选择感知上最优的方法，将他们的数据转换成有效的可视化。

This project will perform fundamental investigations of the strenghts and limitations of the low-level human visual system. It will seek to identify image properties that people can see quickly, to test how those properties interact with one another, and to determine how to harness those properties. Understanding how we perceive the world around us will benefit many research areas including information display, image generation, image analysis, and the simulation of vision. This project will apply this knowledge to an important area of computer graphics: the visualization of large, complex, multidimensional datasets. The goal in this area is to design visualizations that support rapid and accurate exploration and analysis of such complex data. To do this, the project must display all of the data without overwhelming the viewer's visual system. It will solve this problem by constructing a perceptual visualization architecture, which will inclued a "visualization assistant". This assistant will use artificial intelligence search techniques to help viewers choose perceptually optimal methods of converting their data into effective visualizations.