III: Medium: Collaborative Research: Situated Visual Information Spaces
III:媒介:协作研究:情境视觉信息空间
基本信息
- 批准号:2107224
- 负责人:
- 金额:$ 40万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-10-01 至 2024-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The aim of this project is to enable people to effectively visualize information about the world in augmented reality. Augmented reality is potentially the next big social benefit from computer technologies, because it allows visual information to be embedded - or ‘situated’ - into the real world. This allows people using smartphones and smartglasses to see data around them in the correct real-world context. However, unlike when visualizing data on a regular computer or smartphone display, where a designer has complete control over how the application looks and feels, augmented reality visualizations are inherently overlaid on the real world. As such, visualizations must be capable of reacting to different real-world environments including dynamic scenes, and for there to be design recommendations that say how visualizations should react to different environments. This project will scientifically investigate visualization for augmented reality, study the efficacy of different approaches, create design recommendations, and then build a software system that can apply these recommendations to help design and run effective visualization applications. The proposed approach will be experimentally validated in the sports and healthcare domains.Situated visual information spaces fuse the digital information world with the physical world of objects, people, locations, and environments using augmented reality. To realize this, three scientific and design challenges will be tackled: (1) Situated visualization, interaction, and collaboration, which requires intuitive in-situ data visualizations, physical and digital interfaces for natural user interactions, and schemes for collaboration in augmented reality. Novel situated visual embedding methods will be studied for spatial and non-spatial data in dynamic environmental and situational contexts. These visualizations will automatically adapt to the physical environment, digital entities, users, and tasks while using perceptually and cognitively effective methods that do not overwhelm the user. (2) Design via constraints, where software reduces the increased complexity of creating visualizations that adapt to real-world environments. This software is aimed at visualization designers and evaluates guidelines as constraints, then balances these to provide recommendations for appropriate data and designs for the current environment. (3) Situated applications, where two wellness applications in healthcare and sports will be developed and evaluated in partnership with respective domain experts. Within them, these domains cover a spectrum of different techniques, tasks, and users. These applications will help to define an achievable research scope, drive it with motivated stakeholders, and present best-practices via use cases.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目的目的是使人们能够在增强现实中有效地可视化有关世界的信息。增强现实可能是计算机技术的下一个重大社会效益,因为它允许将视觉信息嵌入或“定位”到现实世界中。这使得使用智能手机和智能眼镜的人们能够在正确的现实环境中查看周围的数据。然而,与在常规计算机或智能手机显示屏上可视化数据时不同,设计人员可以完全控制应用程序的外观和感觉,增强现实可视化本质上是覆盖在现实世界上的。因此,可视化必须能够对包括动态场景在内的不同现实世界环境做出反应,并且要有设计建议来说明可视化应如何对不同环境做出反应。该项目将科学地研究增强现实的可视化,研究不同方法的功效,创建设计建议,然后构建一个可以应用这些建议来帮助设计和运行有效的可视化应用程序的软件系统。所提出的方法将在体育和医疗保健领域进行实验验证。情境视觉信息空间使用增强现实将数字信息世界与物体、人、位置和环境的物理世界融合在一起。为了实现这一目标,需要解决三个科学和设计挑战:(1)场景可视化、交互和协作,这需要直观的现场数据可视化、自然用户交互的物理和数字界面以及增强现实中的协作方案。将研究动态环境和情境背景下的空间和非空间数据的新颖的情境视觉嵌入方法。这些可视化将自动适应物理环境、数字实体、用户和任务,同时使用不会让用户不知所措的感知和认知有效方法。 (2) 通过约束进行设计,软件降低了创建适应现实环境的可视化的复杂性。该软件面向可视化设计人员,评估指导方针作为约束,然后平衡这些指导方针,为当前环境的适当数据和设计提供建议。 (3) 定位应用程序,其中医疗保健和体育领域的两个健康应用程序将与各自领域的专家合作开发和评估。其中,这些领域涵盖了一系列不同的技术、任务和用户。这些应用程序将有助于定义可实现的研究范围,与积极的利益相关者一起推动研究范围,并通过用例展示最佳实践。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(13)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
NeuRegenerate: A Framework for Visualizing Neurodegeneration
- DOI:10.1109/tvcg.2021.3127132
- 发表时间:2021-11
- 期刊:
- 影响因子:5.2
- 作者:S. Boorboor;Shawn Mathew;M. Ananth;D. Talmage;L. Role;A. Kaufman
- 通讯作者:S. Boorboor;Shawn Mathew;M. Ananth;D. Talmage;L. Role;A. Kaufman
Risk Perception and Preparation for Storm Surge Flooding: A Virtual Workshop with Visualization and Stakeholder Interaction
风暴潮洪水的风险感知和准备:具有可视化和利益相关者互动的虚拟研讨会
- DOI:10.1175/bams-d-22-0145.1
- 发表时间:2023
- 期刊:
- 影响因子:8
- 作者:Colle, Brian A.;Hathaway, Julia R.;Bojsza, Elizabeth J.;Moses, Josef M.;Sanders, Shadya J.;Rowan, Katherine E.;Hils, Abigail L.;Duesterhoeft, Elizabeth C.;Boorboor, Saeed;Kaufman, Arie E.
- 通讯作者:Kaufman, Arie E.
Autonomous Aesthetic Views Finding in Indoor Scenes with Deep Reinforcement Learning
通过深度强化学习在室内场景中寻找自主审美观
- DOI:
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Xie, D.;Hu, P.;Sun, X.;Pirk, S.;Zhang, J.;Mech, R.;Kaufman, A. E.
- 通讯作者:Kaufman, A. E.
Geometry-Aware Planar Embedding of Treelike Structures
树状结构的几何感知平面嵌入
- DOI:10.48550/arxiv.2202.10551
- 发表时间:2022
- 期刊:
- 影响因子:5.2
- 作者:Ping Hu, Saeed Boorboor
- 通讯作者:Ping Hu, Saeed Boorboor
Erebus: Access Control for Augmented Reality Systems., USENIX Security, 2023. Published.
Erebus:增强现实系统的访问控制。USENIX 安全,2023 年。已发布。
- DOI:
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Kim, Y.;Goutam, S.;Rahmati, A.;Kaufman, A.
- 通讯作者:Kaufman, A.
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Arie Kaufman其他文献
A fast display method for volumetric data
- DOI:
10.1007/bf01901947 - 发表时间:
1993-02-01 - 期刊:
- 影响因子:2.900
- 作者:
Lisa Sobierajski;Daniel Cohen;Arie Kaufman;Roni Yagel;David E. Acker - 通讯作者:
David E. Acker
Automatic target tracking on multi-resolution terrain
多分辨率地形上的自动目标跟踪
- DOI:
10.1631/jzus.2006.a1275 - 发表时间:
2006-07-01 - 期刊:
- 影响因子:3.900
- 作者:
Ming Wan;Wei Zhang;Marie O. Murray;Arie Kaufman - 通讯作者:
Arie Kaufman
Real time discrete shading
- DOI:
10.1007/bf01902626 - 发表时间:
1990-01-01 - 期刊:
- 影响因子:2.900
- 作者:
Daniel Cohen;Arie Kaufman;Reuven Bakalash;Samuel Bergman - 通讯作者:
Samuel Bergman
Generating a smooth voxel-based model from an irregular polygon mesh
- DOI:
10.1007/bf01900824 - 发表时间:
1994-06-01 - 期刊:
- 影响因子:2.900
- 作者:
Daniel Cohen;Arie Kaufman;Yingxing Wang - 通讯作者:
Yingxing Wang
TSL—A Texture Synthesis Language
- DOI:
10.1007/bf01908898 - 发表时间:
1988-05-01 - 期刊:
- 影响因子:2.900
- 作者:
Arie Kaufman - 通讯作者:
Arie Kaufman
Arie Kaufman的其他文献
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{{ truncateString('Arie Kaufman', 18)}}的其他基金
I/UCRC: Center for Visual and Decision Informatics (CVDI) Site at SUNY Stony Brook
I/UCRC:纽约州立大学石溪分校视觉与决策信息学中心 (CVDI) 网站
- 批准号:
1650499 - 财政年份:2017
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
I/UCRC CGI: Center for Dynamic Data Analytics (CDDA)
I/UCRC CGI:动态数据分析中心 (CDDA)
- 批准号:
1069147 - 财政年份:2011
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
MRI-R2: Development of an Immersive Giga-pixel Display
MRI-R2:开发沉浸式千兆像素显示器
- 批准号:
0959979 - 财政年份:2010
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
CCF: AF: Small: Volumetric Mesh Mapping
CCF:AF:小:体积网格映射
- 批准号:
0916235 - 财政年份:2009
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Planning Grant: I/UCRC: Center for Dynamic Data Analytics (CDDA)
规划补助金:I/UCRC:动态数据分析中心 (CDDA)
- 批准号:
0934343 - 财政年份:2009
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
O-buffer: A Framework for Sample Graphics
O-buffer:示例图形的框架
- 批准号:
0306438 - 财政年份:2003
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
Scalable Architecture for Real Time Volume Rendering
用于实时体积渲染的可扩展架构
- 批准号:
9527694 - 财政年份:1995
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
MULTI-Lab: Multimedia and User Interface Laboratory
MULTI-Lab:多媒体和用户界面实验室
- 批准号:
9451851 - 财政年份:1994
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
CISE Educational Infrastructure: MULTI: Multimedia User- interface Laboratory for Teaching and Instructional MaterialDevelopment
CISE 教育基础设施:MULTI:用于教学和教学材料开发的多媒体用户界面实验室
- 批准号:
9214942 - 财政年份:1992
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
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