EAGER: Large-Scale Real-Time Information Visualization on Immersive Platforms

EAGER：沉浸式平台上的大规模实时信息可视化

• 批准号: 1748392
• 负责人: Tobias Hollerer
• 金额: $ 9.32万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1748392&HistoricalAwards=false
• 关键词: EAGER; Large; Scale; Real; Time

This proposal breaks new ground in the rapidly evolving field of Immersive Analytics. Virtual and Augmented Reality technologies are uniquely suited to enable large-scale data analysis that provides global overviews of data landscapes as well as fine-grain control and navigation. The proposed work will implement a scalable development environment for immersive analytics experiences, and evaluatedifferent methods for authoring and collaboratively exploring very large datasets using Virtual Reality headsets, display walls, and curved immersive displays. The proposed work will pave the way for making immersive large-scale data exploration more accessible to large audiences, opening up possibilities of letting home virtual reality users participate in novel learning experiences. The PI will showcase the resulting immersive visualizations at regular outreach events to attract underrepresented minorities to novel human-computer interaction, and thus STEM research.Effective information visualization needs to be able to process and display large amounts of data in real-time to enable interactive analysis. The PI will build direct graphics processing unit (GPU) support into a modern information visualization library design, targeting one to two orders of magnitude acceleration in the rendering of large numbers of graphical elements, compared to current web-based visualization libraries. This computational scalability will enable interactive exploration of very large datasets, either displayed using a single visualization paradigm (e.g. node-link network) or multiple paradigms (e.g., map, network, sensor data, time series, etc.). Immersive information environments have the potential to support more effective capabilities for collaborative analysis than is possible with desktop or web-based platforms by placing groups of stakeholders in the middle of large-scale data visualizations to relate to others' first-person perspectives and interactively and jointly navigate through information spaces and control and highlight different aspects. The PI will design interactive collaborative data navigation and control tools that focus on this potential.

该提案在快速发展的沉浸式分析领域开辟了新天地。虚拟现实和增强现实技术非常适合进行大规模数据分析，提供数据景观的全局概览以及细粒度控制和导航。拟议的工作将实现沉浸式分析体验的可扩展开发环境，并评估使用虚拟现实耳机，显示墙和弯曲沉浸式显示器创作和协作探索超大型数据集的不同方法。拟议的工作将为使沉浸式大规模数据探索更容易为广大受众所接受铺平道路，开辟让家庭虚拟现实用户参与新颖学习体验的可能性。PI将在定期的外展活动中展示由此产生的沉浸式可视化效果，以吸引代表性不足的少数民族参与新颖的人机交互，从而进行STEM研究。有效的信息可视化需要能够实时处理和显示大量数据，以实现交互式分析。PI将在现代信息可视化库设计中构建直接图形处理单元（GPU）支持，与当前基于Web的可视化库相比，在渲染大量图形元素时将加速一到两个数量级。这种计算可扩展性将使非常大的数据集的交互式探索成为可能，无论是使用单个可视化范例（例如节点链接网络）还是使用多个范例（例如，地图、网络、传感器数据、时间序列等）。沉浸式信息环境有可能支持比桌面或基于网络的平台更有效的协作分析能力，方法是将利益相关者群体置于大规模数据可视化的中间，与其他人的第一人称视角相关联，交互式地共同浏览信息空间，控制和突出不同的方面。PI将设计交互式协作数据导航和控制工具，专注于这一潜力。

项目成果

XRCreator: interactive construction of immersive data-driven stories

XRCreator：沉浸式数据驱动故事的交互式构建

• DOI: 10.1145/3281505.3283400
• 发表时间: 2018
• 期刊: VRST 2018: 24th ACM Symposium on Virtual Reality Software and Technology
• 作者: Ren, Donghao;Lee, Bongshin;Höllerer, Tobias
• 通讯作者: Höllerer, Tobias

Stardust: Accessible and Transparent GPU Support for Information Visualization Rendering

• DOI: 10.1111/cgf.13178
• 发表时间: 2017-06
• 期刊: Computer Graphics Forum
• 影响因子: 2.5
• 作者: Donghao Ren;Bongshin Lee;Tobias Höllerer

A Tangible Spherical Proxy for Object Manipulation in Augmented Reality

用于增强现实中对象操作的有形球形代理

• DOI: 10.1109/vr46266.2020.00-63
• 发表时间: 2020
• 作者: Englmeier, David;Dorner, Julia;Butz, Andreas;Hollerer, Tobias
• 通讯作者: Hollerer, Tobias

Understanding node-link and matrix visualizations of networks: A large-scale online experiment

了解网络的节点链接和矩阵可视化：大规模在线实验

• DOI: 10.1017/nws.2019.6
• 发表时间: 2019
• 期刊: Network Science
• 影响因子: 1.7
• 作者: Ren, Donghao;Marusich, Laura R.;O’Donovan, John;Bakdash, Jonathan Z.;Schaffer, James A.;Cassenti, Daniel N.;Kase, Sue E.;Roy, Heather E.;Lin, Wan-yi;Höllerer, Tobias
• 通讯作者: Höllerer, Tobias

Sphere in Hand: Exploring Tangible Interaction with Immersive Spherical Visualizations

手中的球体：通过沉浸式球形可视化探索有形交互

• DOI: 10.1109/vr.2019.8797887
• 发表时间: 2019
• 期刊: IEEE Virtual Reality 2019
• 作者: Englmeier, David;Schonewald, Isabel;Butz, Andreas;Hollerer, Tobias
• 通讯作者: Hollerer, Tobias