SGER: Design and Evaluation of Scalable Information Visualizations with High-Resolution Displays
SGER:具有高分辨率显示器的可扩展信息可视化的设计和评估
基本信息
- 批准号:0617975
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-04-15 至 2007-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The future advent of ultra-high-resolution display technology has the potential to open up powerful new possibilities for information visualization. In the past, data quantity and complexity have grown much more rapidly than display capability, placing severe constraints on visualization design and forcing information visualization research to focus on a paradigm of highly aggregated overviews with details of only a small number of data items. An impending 100x increase in display capability has the potential to enable the simultaneous multi-scale visualization of vast and detailed information spaces. But current uses of high-resolution displays for visualization are rudimentary, with researchers focusing primarily on the computational aspects of graphics rendering. To take full advantage of the new possibilities, fundamentally different approaches to information visualization will have to be developed. In this project the PI will explore, through rigorous scientific experimentation and comparative analysis, the HCI aspects of interactive information visualization on ultra-high-resolution displays, with a view to both truly enabling the high-resolution revolution, and to determining if there should indeed be a revolution at all. Previously awarded NSF research infrastructure funding has enabled the PI to construct one of the highest resolution display facilities in the world. Taking advantage of that platform, the PI will collaborate with life scientists who work in an information-rich area of the bioinformatics domain in which there is a desperate need for improved exploration of massive data, along two major thrusts. Basic research will identify and quantify the fundamental capabilities, benefits, and value of high-resolution visualization, by exploring the task and parameter space of high-resolution displays to identify optimal configurations and evaluate human abilities for perceiving large quantities of high-resolution, multi-scale information. Applied research will design and evaluate new high-resolution interactive information visualization techniques, to identify the most effective approaches for exploiting the increased display space. An important project outcome will be baseline scientific data describing the effect of various display issues such as resolution, display size, bezels, and information display techniques on perception, cognition, user performance, and user behavior. Another outcome will be fundamental new techniques for high-resolution information visualizations that are demonstrably more scalable than traditional low-resolution counterparts.Broader Impacts: This project will spur development of a new research area at the intersection of HCI, massive data visualization, and high-resolution display technology. Through development of advanced bioinformatics tools, it will directly impact cutting-edge research in the life sciences. In the longer term, it will guide future industry development of ultra-high-resolution form factors and advanced visualization tools for massive data, which will result in fundamental new data analysis capabilities across a broad range of application domains such as the sciences, command and control, infrastructure management, and the intelligence community.
未来超高分辨率显示技术的出现有可能为信息可视化开辟强大的新可能性。 在过去,数据量和复杂性的增长比显示能力快得多,对可视化设计提出了严格的限制,迫使信息可视化研究集中在一个高度聚合的概述与细节,只有少量的数据项的范式。 即将到来的显示能力100倍的增长有可能使巨大而详细的信息空间的同时多尺度可视化成为可能。 但目前使用高分辨率显示器进行可视化还很初级,研究人员主要关注图形渲染的计算方面。 为了充分利用新的可能性,必须开发出根本不同的信息可视化方法。 在这个项目中,PI将通过严格的科学实验和比较分析,探索超高分辨率显示器上交互式信息可视化的HCI方面,以期真正实现高分辨率革命,并确定是否真的应该有一场革命。 此前获得的NSF研究基础设施资金使PI能够建造世界上分辨率最高的显示设备之一。 利用这一平台,PI将与在生物信息学领域信息丰富的领域工作的生命科学家合作,其中迫切需要改进对大量数据的探索,沿着两个主要方向。 基础研究将通过探索高分辨率显示器的任务和参数空间来识别和量化高分辨率可视化的基本功能,好处和价值,以确定最佳配置并评估人类感知大量高分辨率,多尺度信息的能力。 应用研究将设计和评估新的高分辨率交互式信息可视化技术,以确定最有效的方法来利用增加的显示空间。 一个重要的项目成果将是描述各种显示问题(如分辨率、显示尺寸、边框和信息显示技术)对感知、认知、用户性能和用户行为的影响的基线科学数据。 另一个成果将是用于高分辨率信息可视化的基本新技术,这些技术比传统的低分辨率技术具有更大的可扩展性。更广泛的影响:该项目将刺激HCI、大规模数据可视化和高分辨率显示技术交叉的新研究领域的发展。 通过开发先进的生物信息学工具,它将直接影响生命科学的前沿研究。 从长远来看,它将指导未来行业开发超高分辨率的外形尺寸和用于海量数据的高级可视化工具,这将在科学、指挥和控制、基础设施管理和情报界等广泛的应用领域产生基本的新数据分析能力。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Christopher North其他文献
Statistical DoE Approach to the Removal of Palladium from Active Pharmaceutical Ingredients (APIs) by Functionalized Silica Adsorbents
美国能源部通过功能化二氧化硅吸附剂去除活性药物成分 (API) 中钯的统计方法
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Jan Recho;Richard J. G. Black;Christopher North;James E. Ward;R. Wilkes - 通讯作者:
R. Wilkes
Christopher North的其他文献
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{{ truncateString('Christopher North', 18)}}的其他基金
Collaborative Research: CSSI Frameworks: SAGE3: Smart Amplified Group Environment for Harnessing the Data Revolution
协作研究:CSSI 框架:SAGE3:利用数据革命的智能放大群组环境
- 批准号:
2003387 - 财政年份:2020
- 资助金额:
-- - 项目类别:
Standard Grant
BIGDATA: F: DKA: Usable Multiple Scale Big Data Analytics through Interactive Visualization
BIGDATA:F:DKA:通过交互式可视化进行可用的多尺度大数据分析
- 批准号:
1447416 - 财政年份:2014
- 资助金额:
-- - 项目类别:
Standard Grant
HCC: Small: Semantic Interaction for Visual Text Analytics
HCC:小型:视觉文本分析的语义交互
- 批准号:
1218346 - 财政年份:2012
- 资助金额:
-- - 项目类别:
Continuing Grant
Education and Engagement with Herschel: Unveiling the hidden Universe
赫歇尔的教育和参与:揭开隐藏的宇宙的面纱
- 批准号:
ST/J000248/1 - 财政年份:2011
- 资助金额:
-- - 项目类别:
Research Grant
Towards Boundless Display: Developing a Reconfigurable Research Testbed for Large-scale, High-resolution Visual Displays
迈向无边界显示:为大规模、高分辨率视觉显示器开发可重新配置的研究测试台
- 批准号:
0423611 - 财政年份:2004
- 资助金额:
-- - 项目类别:
Continuing Grant
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