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.

该项目将开发使感知工具，以量化，并依赖增加信息的沟通，通过感知渠道使用信息理论框架。将开发新的感知调整体积可视化和触觉渲染技术，用于标量和矢量数据的感知有效通信。先进的体绘制和着色技术的适当性和实用性，有效的信息传输，以及最有效的组合的视觉和触觉模态的基础上的数据变量特性将被确定。用户研究将允许测量，以定性和量化这些组件中的每一个的信息传输。与研究人员在强风暴预报和细胞骨架建模方面的密切合作将用于验证工作的实用性，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步将对许多科学领域产生巨大影响，包括天体物理学、生物学、计算流体动力学、医学、气象学、纳米技术和地震学。 数据感知的改进也可以直接应用于信息可视化的应用，例如数据挖掘，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，细胞骨架和其他科学数据，对公众，本科工程专业学生和K-12学生的教育产生更广泛的影响。