Integrating Data Visualization and the Physical World
Integrating Data Visualization and the Physical World
批准号:
RGPIN-2021-02492
负责人:
Willett, Wesley
金额:
$2.55万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
我的团队的研究将通过允许人们在上下文中收集,可视化和与数据交互的系统来研究在物理世界中定位数据可视化的新机会,以告知日常决策。 数据驱动的思维和分析工具越来越普遍。然而,在大多数领域中,可视化和分析仍然发生在桌面上,远离现实世界的空间,系统和他们旨在解决的问题。在个人健康、工作场所优化和城市设计等应用领域,桌面系统和现实世界工作性质之间的这种间接性可能会使数据和分析难以利用。这限制了数据为决策提供信息的潜力,并降低了观众将环境背景与数据驱动的见解联系起来的程度。幸运的是,无处不在的低功耗显示器、动态投影映射系统和混合现实耳机等新兴技术有可能直接在最相关的环境中改变这种动态表面数据。我的研究团队将利用这些新的显示技术来创建新的数据可视化系统,帮助最终用户将数据整合到自己独特的环境和工作流程中。我们将专注于三个核心主题:主题1 -设计与物理环境集成的新的数据可视化。我的团队将为无处不在的显示器、投影映射系统和混合现实耳机创建新的可视化设计,解决遮挡、数据密度、时空间接性和其他已知挑战等问题,这些问题使得难以重用现有的桌面可视化技术。主题2 -探索访问和探索情境可视化的新交互技术。我的团队将设计和测试新的交互技术,利用可视化和现实世界的对象和空间之间的联系,允许观众通过导航和与现实世界的位置和对象进行交互来控制可视化。主题3 -检查新的创作范例,用于创建和定制情境可视化。我的团队将设计、开发和测试新的界面,使最终用户能够根据其独特的环境设计可视化。特别是,我们将专注于允许最终用户将数据集和可视化链接到物理环境的方法,以快速创建有助于解决特定现实问题的表示。拟议研究的结果将有助于释放现实世界空间中数据可视化的潜力,从而产生新的现场分析方法,可以改善各种行业的决策。拟议工作的技术和经验成果都有可能在未来5-10年内推动加拿大的技术创新,为初创企业和其他与可视化工具相关的技术投资创造新的机会。
英文摘要
My team's research will examine new opportunities for situating data visualization in the physical world via systems that allow people to collect, visualize, and interact with data in-context to inform everyday decision making. Data-driven thinking and analysis tools are increasingly ubiquitous. Yet in most domains, visualization and analysis still happen on the desktop, far from the real-world spaces, systems, and problems they aim to address. In application areas like personal health, workplace optimization, and urban design, this indirection between desktop systems and the real-world nature of work can make it hard to capitalize on data and analysis. This limits the potential for data to inform decision making and reduces the extent to which viewers can link environmental context to data-driven insights. Fortunately, emerging technologies like ubiquitous low-power displays, dynamic projection mapping systems, and mixed reality headsets have the potential to change this dynamic-surfacing data directly in the environments where it is most relevant. My research team will harness these new display technologies to create new situated data visualization systems that help end-users incorporate data into their own unique environments and workflows. We will focus on three core themes: Theme 1 - Designing new situated data visualizations that integrate with physical environments. My team will create new situated visualization designs for ubiquitous displays, projection mapping systems, and mixed reality headsets, addressing issues with occlusion, data density, spatio-temporal indirection, and other known challenges which make it difficult to re-use existing desktop visualization techniques. Theme 2 - Exploring new interaction techniques for accessing and exploring situated visualizations. My team will design and test new interaction techniques that leverage the connections between visualizations and real-world objects and spaces-allowing viewers to control visualizations by navigating and interacting with the real-world locations and objects. Theme 3 - Examining new authoring paradigms for creating and customizing situated visualizations. My team will design, develop, and test new interfaces that allow end-users to design visualizations tailored to their unique environments. In particular, we will focus on approaches that allow end-users to link datasets and visualizations to physical environments to quickly create representations that help solve specific real-world problems. The results of the proposed research will help unlock the potential for data visualizations in real-world spaces, leading to new in-situ analysis approaches that could improve decision-making in a variety of industries. Both the technical and empirical outcomes of the proposed work have the potential to drive technology innovation in Canada over the next 5-10 years, creating new opportunities for start-ups and other tech investment related to situated visualization tools.
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会议论文
Visual Analytics
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批准号:CRC-2017-00339
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项目类别:Canada Research Chairs
-
资助金额:$8.38万
-
财政年份:2022
-
负责人:Willett, Wesley
-
依托单位:
Visual Analytics
-
批准号:CRC-2017-00339
-
项目类别:Canada Research Chairs
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资助金额:$8.74万
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财政年份:2021
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负责人:Willett, Wesley
-
依托单位:
Integrating Data Visualization and the Physical World
-
批准号:RGPIN-2021-02492
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$2.55万
-
财政年份:2021
-
负责人:Willett, Wesley
-
依托单位:
Streamlined Tools for Personal Analytics
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批准号:RGPIN-2016-04564
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项目类别:Discovery Grants Program - Individual
-
资助金额:$1.6万
-
财政年份:2020
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负责人:Willett, Wesley
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依托单位:
Visual Analytics
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批准号:1000231692-2017
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项目类别:Canada Research Chairs
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资助金额:$5.71万
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财政年份:2020
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负责人:Willett, Wesley
-
依托单位:
Streamlined Tools for Personal Analytics
-
批准号:RGPIN-2016-04564
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.6万
-
财政年份:2019
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负责人:Willett, Wesley
-
依托单位:
Visual Analytics
-
批准号:1000231692-2017
-
项目类别:Canada Research Chairs
-
资助金额:$8.74万
-
财政年份:2019
-
负责人:Willett, Wesley
-
依托单位:
Visual Analytics
-
批准号:1000231692-2017
-
项目类别:Canada Research Chairs
-
资助金额:$8.74万
-
财政年份:2018
-
负责人:Willett, Wesley
-
依托单位:
Streamlined Tools for Personal Analytics
-
批准号:RGPIN-2016-04564
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.6万
-
财政年份:2018
-
负责人:Willett, Wesley
-
依托单位:
Visual Analytics
-
批准号:1000231692-2017
-
项目类别:Canada Research Chairs
-
资助金额:$1.82万
-
财政年份:2017
-
负责人:Willett, Wesley
-
依托单位:
Streamlined Tools for Personal Analytics
-
批准号:RGPIN-2016-04564
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.6万
-
财政年份:2017
-
负责人:Willett, Wesley
-
依托单位:
Streamlined Tools for Personal Analytics
-
批准号:RGPIN-2016-04564
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.6万
-
财政年份:2016
-
负责人:Willett, Wesley
-
依托单位:
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