CHS: Medium: Collaborative Research: Sculpting Visualizations: Toward a Practice and Theory of 3D Scientific Visualizations Using Physical Objects and Augmented Reality
CHS: Medium: Collaborative Research: Sculpting Visualizations: Toward a Practice and Theory of 3D Scientific Visualizations Using Physical Objects and Augmented Reality
批准号:
1704904
负责人:
Francesca Samsel
金额:
$52.46万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2023-08-31
中文摘要
3D打印、增强现实(AR)和虚拟现实(VR)的进步正在为计算工具创造新的可能性,这些工具可以与我们的物理环境相集成,并利用我们的物理能力。该提案将研究这些技术如何支持3D数据可视化,这是一项日益重要和常见的科学活动。该团队包括计算机科学家、艺术家、神经科学家、地质学家和海洋学家,他们将首先使用3D打印来开发与特定分析领域和任务的需求相匹配的3D数据的物理表示(“物理数据表单”),并通过此开发一般用于可视化的3D设计原则。然后,他们将设计使用AR视觉表示和物理数据表单的混合空间,寻找利用各自优势的方法,并开发通过虚拟和物理形式与数据交互的方法。最后,他们将创建利用这些设计原则和交互技术的工具,使科学家能够创建新的物理数据表单和混合可视化,以解决脑成像、地质学以及最终许多科学领域的突出数据分析挑战。这项工作将支持PIS机构艺术、科学、计算和数据可视化交叉学科的课程;学生还将接受研究方法方面的培训,并与研究团队合作开发公共科学博物馆展品,以提高对相关技术和科学的认识。为了利用快速、创造性、艺术性的迭代和探索物理形式的可能性,该团队将开发用于捕获和提取物理形式属性的界面和算法,以及用于探索这些属性与3D数据之间映射的工具、设计理论和分类,以及用于在可视化过程中使用物理输入的目录。这些物理元素将通过托管数字头跟踪立体显示器来增强,这些显示器直接将打印对象纳入AR体验,以及基于触摸的交互技术,如触敏输入表面或在打印对象中直接包含物理部件。这些可视化将通过基于比较3D矢量场可视化方法的现有方法的用户研究来评估。然后,该团队将开发探索性可视化工具,使用先前开发的简化版本的目录和可视化来帮助管理创建新可视化的复杂性,同时通过使用工具向科学家传授视觉设计过程,将数据探索的科学任务重塑为可视化设计的创造性过程,以支持学习、参与和有效分析。这些工具将由艺术和计算机科学专业的学生团队与领域科学家一起反复开发,用于促进数据探索和发现,以及通过互动体验将科学更直接地带入公共领域,例如在科学博物馆。
英文摘要
Advances in 3D printing, augmented reality (AR), and virtual reality (VR), are creating new possibilities for computing tools that integrate with our physical environment and take advantage of our physical abilities. This proposal will study how these technologies can support 3D data visualization, an increasingly important and common scientific activity. The team, which includes computer scientists, artists, neuroscientists, geologists, and oceanologists, will first use 3D printing to develop physical representations of 3D data ("physical data forms") that match the needs of specific analysis domains and tasks, and through this develop principles for doing 3D design for visualizations in general. They will then design hybrid spaces that use AR visual representations along with physical data forms, looking at ways to leverage the strengths of each and developing ways to interact with the data through both the virtual and physical forms. Finally, they will create tools that leverage these design principles and interaction techniques to allow scientists to create new physical data forms and hybrid visualizations to address outstanding data analysis challenges in brain imaging, geology, and, ultimately, many scientific fields. The work will support interdisciplinary courses at the intersection of art, science, computing, and data visualization at the PIs' institutions; students will also be trained in research methods and work with the research team to develop public science museum exhibits that raise awareness of both the technology and the science involved. To leverage the possibilities of rapid, creative, artistic iteration and exploration of physical form, the team will develop interfaces and algorithms for capturing and extracting properties of physical forms, along with tools for exploring mappings between these properties and 3D data, a design theory and taxonomy, and a catalog for using physical inputs in visualization processes. These physical elements will be augmented with colocated digital head-tracked stereoscopic displays that directly incorporate the printed objects into the AR experience, along with touch-based interaction techniques such as touch-sensitive input surfaces or the direct inclusion of physical widgets in the printed objects. These visualizations will be evaluated through user studies based on existing methodologies for comparing 3D vector field visualization methods. The team will then develop exploratory visualization tools, using streamlined versions of the catalog and visualizations developed earlier to help manage the complexity of creating new visualizations while teaching visual design processes to scientists through the use of the tools, recasting the scientific task of data exploration as a creative process of visualization design to support learning, engagement, and effective analysis. These tools will be iteratively developed by teams of art and computer science students in conjunction with domain scientists and used to facilitate data exploration and discovery, as well as to bring science more directly into the public sphere through interactive experiences, such as at science museums.
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DOI:
10.1109/mcg.2020.3044228
发表时间:
2021
期刊:
IEEE Computer Graphics and Applications
影响因子:
1.8
作者:
[Abram, Greg, Samsel, Francesca, Petersen, Mark R., Asay-Davis, Xylar, Comeau, Darin, Price, Stephen F., Potel, Mike]
通讯作者:
Potel, Mike
Associative Forms for Encoding Multivariate Climate Data
编码多元气候数据的关联形式
DOI:
--
发表时间:
2023
期刊:
IEEE VIS Arts Program
影响因子:
--
作者:
[Samsel., F.]
通讯作者:
Samsel., F.
Enabling Crosscutting Visualization for Geoscience
实现地球科学的横切可视化
DOI:
10.1109/mcg.2020.3043982
发表时间:
2021
期刊:
IEEE Computer Graphics and Applications
影响因子:
1.8
作者:
[Szafir, Danielle Albers, Samsel, Francesca, Zeller, Stephanie, Saltus, Rick]
通讯作者:
Saltus, Rick
Affective, Hand-Sculpted Glyph Forms for Engaging and Expressive Scientific Visualization
情感化、手工雕刻的字形形式,用于引人入胜且富有表现力的科学可视化
DOI:
10.1109/visap57411.2022.00025
发表时间:
2022
期刊:
In Proceedings 2022 IEEE VIS Arts Program (VISAP
影响因子:
--
作者:
[Zeller, Stephanie, Samsel, Francesca, Bartram, Lyn]
通讯作者:
Bartram, Lyn
Cultivating Macroalgae for Biofuels: Visualizing the Chemistry
培育用于生物燃料的大型藻类:化学可视化
DOI:
--
发表时间:
2022
期刊:
International Conference for High Performance Computing Networking Storage and Analysis
影响因子:
--
作者:
[SAMSEL, F, ABRAM, G, ZELLER, S, CAO, Z, WOLFRAM, P, HERMAN, B, KEEFE, D.]
通讯作者:
KEEFE, D.
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