CGV: Small: Visualization by Sketching, Analogy, and Computational Creativity
CGV: Small: Visualization by Sketching, Analogy, and Computational Creativity
批准号:
1218058
负责人:
Daniel Keefe
金额:
$43.21万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2016-08-31
中文摘要
本研究项目的目标是改变数据可视化的设计和创建方式,使使用计算机图形学的科学信息交流更有效、更有创造性和更容易获取。该项目使艺术家、科学家、工程师和其他人能够快速设计、生成和迭代地优化当今最复杂的数据集的可视化。该方法结合了新颖的计算工具,可以增强素描、类比推理和其他创造性的人类设计任务,以及潜在的科学数据和3D显示。结果包括新的工具、算法和指南,这些工具、算法和指南通过具有挑战性的生物医学工程应用进行实验评估,例如可视化多维成像和建模数据,以了解拟议的新医疗设备与人体组织之间的相互作用。这些结果意义重大,因为它们导致了对计算和人类创造力如何最有效地结合在一起的新理解,特别是如何将它们结合起来帮助科学家可视化和理解复杂的多维数据。这项工作的更广泛的影响在于教育努力与实验研究和新方法的广泛应用相结合。来自当地艺术和设计学院的学生接受科学方法的教育,为这些视觉专家开辟了新的科学职业道路。实践教育研究示范在当地社区进行。通过特定的应用程序,这项工作产生了可以改进和加速科学、工程和医疗保健的见解。项目成果,包括开发的新课程、开放源码软件、录像、出版物和演示,将在项目网站(http://ivlab.cs.umn.edu/visualization-by-sketching)上传播。
英文摘要
The goal of this research project is to transform the way that data visualizations are designed and created to enable more effective, creative, and accessible ways of communicating scientific information using computer graphics. The project enables artists, scientists, engineers, and others to rapidly design, generate, and iteratively refine visualizations of today's most complex datasets. The approach combines novel computational tools that enhance sketching, analogical reasoning, and other creative human design tasks with underlying scientific data and 3D displays. The results include new tools, algorithms, and guidelines, which are evaluated experimentally through challenging applications to biomedical engineering, such as visualizing multidimensional imaging and modeling data to understand interactions between proposed new medical devices and human tissues. These results are significant because they lead to new understandings of how computation and human creativity can be most effectively combined in general, and specifically, how they can be combined to help scientists visualize and understand complex multidimensional data. The broader impacts of the work lie in educational efforts integrated with the experimental research and broad applications of the new methods developed. Students from local art and design colleges are educated in scientific methods, opening up new career paths in the sciences for these visual experts. Hands-on educational research demonstrations are conducted in the local community. Through specific applications, the work yields insights that can improve and accelerate science, engineering, and healthcare. Project results, including new curriculum developed, open source software, videos, publications, and demos, will be disseminated on the project web site (http://ivlab.cs.umn.edu/visualization-by-sketching).
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Collaborative Research: HCC: Small: RUI: Drawing from Life in Extended Reality: Advancing and Teaching Cross-Reality User Interfaces for Observational 3D Sketching
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批准号:2326998
-
项目类别:Standard Grant
-
资助金额:$40.0万
-
财政年份:2023
-
负责人:Daniel Keefe
-
依托单位:
CHS: Medium: Collaborative Research: Sculpting Visualizations: Toward a Practice and Theory of 3D Scientific Visualizations Using Physical Objects and Augmented Reality
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批准号:1704604
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项目类别:Continuing Grant
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资助金额:$67.5万
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财政年份:2017
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负责人:Daniel Keefe
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依托单位:
WORKSHOP: IEEE VR 2014 Doctoral Consortium
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批准号:1416888
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项目类别:Standard Grant
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资助金额:$1.56万
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财政年份:2013
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负责人:Daniel Keefe
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依托单位:
BIGDATA: Small: DA: Coupling Data-Intensive Modeling, Simulation, and Visualization with Human Facilities for Design: Applications to Next-Generation Medical Device Prototyping
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批准号:1251069
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项目类别:Standard Grant
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资助金额:$50.1万
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财政年份:2013
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负责人:Daniel Keefe
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依托单位:
CAREER: Picturing Motion: Analyzing Multidimensional Time-Varying Data through Perceptually Accurate Exploratory Visualization
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批准号:1054783
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项目类别:Continuing Grant
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资助金额:$46.7万
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财政年份:2011
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负责人:Daniel Keefe
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依托单位:
国内基金
海外基金
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