CGV: Small: Visualization by Sketching, Analogy, and Computational Creativity
CGV:小:通过草图、类比和计算创造力进行可视化
基本信息
- 批准号:1218058
- 负责人:
- 金额:$ 43.21万
- 依托单位:
- 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
- 起止时间:2012-09-01 至 2016-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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).
该研究项目的目标是改变设计和创建数据可视化的方式,以实现使用计算机图形传达科学信息的更有效,更具创造性和可访问性的方式。该项目使艺术家,科学家,工程师和其他人能够快速设计,生成和迭代改进当今最复杂数据集的可视化。该方法结合了新颖的计算工具,增强了草图,类比推理和其他创造性的人类设计任务与基础科学数据和3D显示。研究结果包括新的工具、算法和指南,通过生物医学工程的挑战性应用进行实验评估,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和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。这项工作的更广泛影响在于教育工作与实验研究相结合,并广泛应用所开发的新方法。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。在当地社区进行实践教育研究示范。通过具体的应用,这项工作产生的见解可以改善和加速科学,工程和医疗保健。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。
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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Daniel Keefe其他文献
The Hydronephrosis Severity Index guides paediatric antenatal hydronephrosis management based on artificial intelligence applied to ultrasound images alone
肾积水严重程度指数仅基于应用于超声图像的人工智能来指导儿科产前肾积水管理。
- DOI:
10.1038/s41598-024-72271-9 - 发表时间:
2024-10-01 - 期刊:
- 影响因子:3.900
- 作者:
Lauren Erdman;Mandy Rickard;Erik Drysdale;Marta Skreta;Stanley Bryan Hua;Kunj Sheth;Daniel Alvarez;Kyla N. Velaer;Michael E. Chua;Joana Dos Santos;Daniel Keefe;Norman D. Rosenblum;Megan A. Bonnett;John Weaver;Alice Xiang;Yong Fan;Bernarda Viteri;Christopher S. Cooper;Gregory E. Tasian;Armando J. Lorenzo;Anna Goldenberg - 通讯作者:
Anna Goldenberg
Posterior bony humeral avulsion of glenohumeral ligament with reverse bony Bankart lesion
- DOI:
10.1016/j.jse.2008.09.014 - 发表时间:
2009-05-01 - 期刊:
- 影响因子:
- 作者:
Lina Chen;Daniel Keefe;John Park;Donald Resnick - 通讯作者:
Donald Resnick
Development and international validation of a novel multivariate prognostic tool: posterior urethral valve risk of chronic kidney disease (PURK) score
- DOI:
10.1007/s00467-025-06701-9 - 发表时间:
2025-02-11 - 期刊:
- 影响因子:2.600
- 作者:
Jin Kyu Kim;Priyank Yadav;Chris Bitcon;Daniel Keefe;Assia Comella;Kiarash Taghavi;Ribal Kattini;Carol A. Davis-Dao;Antoine E. Khoury;Adree Khondker;Michael Chua;Elias J. Wehbi;Kai-Wen Chuang;Stephany A. Heidi;Zhan Tao Peter Wang;Sumit Dave;Timothy Boswell;Brenton T. Bicknell;Mohd Sualeh Ansari;Rodrigo Romao;Juliane Richter;Joana Dos Santos;Armando J. Lorenzo;Mandy Rickard - 通讯作者:
Mandy Rickard
Managing Data Quality in Observational Citizen Science.
管理观察性公民科学中的数据质量。
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Loren G. Terveen;Haiyi Zhu;Yuqing Ren;Daniel Keefe - 通讯作者:
Daniel Keefe
Professional advancement, performance, and injury characteristics of baseball players entering the Major League Baseball draft after treatment for shoulder injuries
- DOI:
10.1016/j.jse.2018.07.027 - 发表时间:
2019-02-01 - 期刊:
- 影响因子:
- 作者:
Aakash Chauhan;Jason H. Tam;Anthony J. Porter;Sravya Challa;Samuel Early;John D'Angelo;Daniel Keefe;Heinz Hoenecke;Jan Fronek - 通讯作者:
Jan Fronek
Daniel Keefe的其他文献
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{{ truncateString('Daniel Keefe', 18)}}的其他基金
Collaborative Research: HCC: Small: RUI: Drawing from Life in Extended Reality: Advancing and Teaching Cross-Reality User Interfaces for Observational 3D Sketching
合作研究:HCC:小型:RUI:从扩展现实中的生活中汲取灵感:推进和教授用于观察 3D 草图绘制的跨现实用户界面
- 批准号:
2326998 - 财政年份:2023
- 资助金额:
$ 43.21万 - 项目类别:
Standard Grant
CHS: Medium: Collaborative Research: Sculpting Visualizations: Toward a Practice and Theory of 3D Scientific Visualizations Using Physical Objects and Augmented Reality
CHS:媒介:协作研究:雕刻可视化:利用物理对象和增强现实实现 3D 科学可视化的实践和理论
- 批准号:
1704604 - 财政年份:2017
- 资助金额:
$ 43.21万 - 项目类别:
Continuing Grant
WORKSHOP: IEEE VR 2014 Doctoral Consortium
研讨会:IEEE VR 2014 博士联盟
- 批准号:
1416888 - 财政年份:2013
- 资助金额:
$ 43.21万 - 项目类别:
Standard Grant
BIGDATA: Small: DA: Coupling Data-Intensive Modeling, Simulation, and Visualization with Human Facilities for Design: Applications to Next-Generation Medical Device Prototyping
大数据:小:DA:将数据密集型建模、仿真和可视化与人类设计设施相结合:在下一代医疗设备原型设计中的应用
- 批准号:
1251069 - 财政年份:2013
- 资助金额:
$ 43.21万 - 项目类别:
Standard Grant
CAREER: Picturing Motion: Analyzing Multidimensional Time-Varying Data through Perceptually Accurate Exploratory Visualization
职业:描绘运动:通过感知准确的探索性可视化分析多维时变数据
- 批准号:
1054783 - 财政年份:2011
- 资助金额:
$ 43.21万 - 项目类别:
Continuing Grant
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