CRI: II-New: An Infrastructure of Display Devices to Study Visual Analytics Beyond the Desktop

可视分析研究如何通过为数据分析和呈现提供交互式可视界面来帮助人们理解复杂的数据。通过使数据可见和交互，视觉分析使科学家和研究人员能够发现模式，制定新的假设，并在相关的科学、社会和经济问题上获得新的见解。然而，现有方法和技术完全集中在标准桌面界面上，因此没有利用诸如大屏幕显示器、触摸台和立体显示器等非传统显示设备可以带来的显著机会。在这个项目中，研究团队通过开发方法来探索这些机会，这些方法包括：(1)用户研究，以了解人们如何在协作、数据监控和沉浸式环境中解决数据分析问题；(2)开发用于触摸和3D界面的新型交互技术和应用；(3)利用丰富的用户体验传感器(如脑电和眼球跟踪设备)的高级评估方法。这三个方向的研究将扩大视觉分析的视野，并增加我们关于它如何帮助人们从复杂和庞大的数据集中提取有用和可操作的知识的知识。

Visual Analytics studies how to help people make sense of complex data by providing interactive visual interfaces for data analysis and presentation. By making data visible and interactive, visual analytics enables scientists and researchers to detect patterns, formulate novel hypotheses and derive new insights on relevant scientific, social, and economic issues. Existing methods and technologies however focus exclusively on standard desktop interfaces and, as such, do not take advantage of the remarkable opportunities non-traditional display devices such as large screen displays, touch tables, and stereoscopic displays, can bring. In this project the research team explores these opportunities by developing methods for collaborative visual data analysis; real-time data monitoring in mission-critical settings; and immersive virtual navigation of "data spaces".The research the PI carries out includes: (1) user studies to understand how people solve data analysis problems in collaborative, data monitoring and immersive settings; (2) development of novel interaction techniques and applications for touch and 3D interfaces; (3) advanced evaluation methods that take advantage of rich user experience sensors such as EEG and eye-tracking devices. Research in these three directions will expand the horizon of visual analytics and increase our knowledge of how it can help people extract useful and actionable knowledge out of complex and large data sets.