CAREER: Managing Complexity: Fidelity Control for Optimal Usability in 3D Graphics Systems

职业：管理复杂性：保真度控制以实现 3D 图形系统的最佳可用性

• 批准号: 0639426
• 负责人: Benjamin Watson
• 金额: --
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2009-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0639426&HistoricalAwards=false
• 关键词: CAREER; Managing; Complexity; Fidelity; Control

Improvements in the speed of 3D graphics rendering hardware have been accompanied by even more drastic increases in the size of displayed models. Full-system CAD, 3D model scanners, procedurally generated models, and visualization data sets are now approaching hundreds of millions or even billions of polygons in size. Researchers trying to display these models have been forced either to reduce display speed and interactivity, or instead to reduce the fidelity of the displayed views of their models. What are the best methods for preserving visual fidelity as model complexity is automatically reduced or "simplified"? What is the most effective way of striking the display speed vs. visual fidelity compromise? And in the increasingly important graphics application of visualization, how can we preserve the meaningful elements of the displayed data, and make users effective managers of information complexity? This research will take its three complementary directions from the three above questions. The PI will develop prototype systems and investigate their effectiveness with user studies. Many of these studies will take place in the context of driving applications developed for existing collaborations with colleagues in academia and the gaming industry. Specific goals will include the development and evaluation of automatic methods for measuring fidelity; an examination of the hypothesis that fidelity control should minimize visual error, whether it is introduced by compromises in visual fidelity or display speed; and for abstract information visualization, study of fidelity measures and summarization techniques not necessarily inspired by knowledge of perception in the natural world. While many technical solutions have addressed the issues of measuring similarity and summarizing complex data, only a few of them have been evaluated in rigorous usability studies. This research will fill this gap, producing knowledge, guidelines, heuristics and software that will improve the usability of interactive 3D graphics applications.

3D图形渲染硬件的速度的改进已经伴随着所显示的模型的尺寸的甚至更急剧的增加。 全系统CAD、3D模型扫描仪、程序生成的模型和可视化数据集的大小现在接近数亿甚至数十亿个多边形。 试图显示这些模型的研究人员被迫降低显示速度和交互性，或者降低模型显示视图的保真度。 当模型复杂度自动降低或“简化”时，保持视觉保真度的最佳方法是什么？ 什么是最有效的方法来打击显示速度与视觉保真度的妥协？ 而在日益重要的图形可视化应用中，如何才能保留显示数据中有意义的元素，并使用户有效地管理信息的复杂性？ 本研究将从上述三个问题出发，提出三个相辅相成的研究方向。 PI将开发原型系统，并通过用户研究调查其有效性。 其中许多研究将在为与学术界和游戏行业的同事现有合作开发的驱动应用程序的背景下进行。 具体的目标将包括开发和评估的自动方法测量保真度;检查的假设，保真度控制应尽量减少视觉误差，无论是在视觉保真度或显示速度的妥协;和抽象的信息可视化，保真度的措施和总结技术的研究不一定启发在自然世界中的感知知识。 虽然许多技术解决方案已经解决了测量相似性和汇总复杂数据的问题，但只有少数技术解决方案在严格的可用性研究中进行了评估。 这项研究将填补这一空白，产生知识，指导方针，技巧和软件，将提高交互式三维图形应用程序的可用性。