SGER: Design and Evaluation of Scalable Information Visualizations with High-Resolution Displays

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速度远远快于显示能力，这对可视化设计施加了严格的限制，迫使信息可视化研究将重点放在只有少量数据项细节的高度聚合的概述范式上。显示能力即将提高100倍，有可能实现对巨大而详细的信息空间的同时多尺度可视化。但目前高分辨率显示器在可视化方面的应用还很初级，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信息可视化的人机界面方面，以期真正实现高分辨率革命，并确定是否真的应该发生一场革命。之前获得的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施之一。利用这个平台，PI将与生命科学家合作，这些科学家在生物信息学领域的信息丰富领域工作，在这个领域，迫切需要沿着两个主要推动力改进对海量数据的探索。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能力、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信息可视化技术，以确定利用增加的显示空间的最有效方法。一个重要的项目成果将是基线科学数据，描述各种显示问题，如分辨率、显示大小、边框和信息显示技术对感知、认知、用户表现和用户行为的影响。另一个成果将是高分辨率信息可视化的基本新技术，这些技术显然比传统的低分辨率信息可视化更具可扩展性。广泛的影响：该项目将推动一个新的研究领域的发展，该领域是人机交互、海量数据可视化和高分辨率显示技术的交汇点。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尖端研究。从长远来看，它将指导未来行业发展超高分辨率外形规格和先进的海量数据可视化工具，从而在科学、指挥与控制、基础设施管理和情报社区等广泛的应用领域产生基本的新数据分析能力。

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.