Quantifying and Increasing Information Transmission with Data Perceptualization

通过数据感知量化并增加信息传输

• 批准号: 0328984
• 负责人: David Ebert
• 金额: --
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-10-01 至 2008-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0328984&HistoricalAwards=false
• 关键词: Quantifying; Increasing; Information; Transmission; Data

This project will develop enabling perceptualization tools to quantify, and dependably increase the communication of information through perceptual channels using an information theory framework. New perceptually tuned volume visualization and haptic rendering techniques for perceptually effective communication of both scalar and vector data will be developed. The appropriateness and utility of advanced volume rendering and shading techniques for efficient information transmission, and the most effective combination of visual and haptic modalities based on data variable characteristics will be determined. User studies will allow measurements to qualify, and quantify information transmission for each of these components. Close work with researchers in severe storm predication and cytoskeleton modeling will be used to verify the utility of the work, and produce more effective tools for biology and atmospheric science researchers. This fundamental advancement in perceptualization techniques will have a dramatic impact on many scientific fields, including astrophysics, biology, computational fluid dynamics, medicine, meteorology, nanotechnology, and seismology. The improvement in data perceptualization can also be directly applied to applications in information visualization, such as data mining, digital libraries, corporate management, financial data analysis, network intrusion detection, and homeland security. This research will also have a broader impact on the education of the general public, undergraduate engineering students, and K-12 students through the development of interactive learning modules and demonstrations that allow them to see and feel thunderstorms, tornadoes, cellular cytoskeletons, and other scientific data.

该项目将开发能够量化的感知工具，并使用信息理论框架可靠地增加通过感知渠道的信息交流。将开发新的感知调谐的体积可视化和触觉渲染技术，以实现标量和矢量数据的感知有效通信。将确定用于有效信息传输的先进的体绘制和阴影技术的适当性和实用性，以及基于数据变量特征的视觉和触觉形态的最有效组合。用户研究将允许测量对这些组件中的每个组件的信息传输进行鉴定和量化。与研究人员在严重风暴预测和细胞骨架建模方面的密切合作将用于验证这项工作的实用性，并为生物学和大气科学研究人员提供更有效的工具。感知技术的这一根本性进展将对许多科学领域产生重大影响，包括天体物理、生物学、计算流体力学、医学、气象学、纳米技术和地震学。数据感知化的改进也可以直接应用于信息可视化的应用，如数据挖掘、数字图书馆、企业管理、金融数据分析、网络入侵检测和国土安全。这项研究还将通过开发互动学习模块和演示，使他们能够看到和感受雷暴、龙卷风、细胞细胞骨架和其他科学数据，从而对普通公众、工科本科生和K-12学生的教育产生更广泛的影响。