CAREER: Interactive Gesture-Based Data Manipulation and Visualization for Exploratory Learning and Research

职业：用于探索性学习和研究的交互式基于手势的数据操作和可视化

• 批准号: 1351055
• 负责人: Christopher Weaver
• 金额: $ 49.61万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1351055&HistoricalAwards=false
• 关键词: CAREER; Interactive; Gesture; Based; Data

Visual exploration and analysis of data is increasingly important for advancement in virtually every area of human endeavor. Whether recorded directly by people or indirectly using machines, data captures our observations and interpretations of the world. When people interact with data, it is almost always in a visual form like graphics or text. The goal of this project is to vastly expand the usefulness of interactive visualizations by providing a general way to create and edit data inside the visualizations themselves. The key new idea of the project is that visualization users can perform sequences of gestures with common input devices to express their observations and interpretations directly in visual form. The visualizations not only show data, but also serve as meaningful graphical spaces in which to edit that data. By extending the data processing workflows and display techniques that are currently used in popular visualization tools and software libraries, we can flexibly and expressively translate the details of interactions into precise data changes with simultaneous visual feedback.The innovative contributions of the project will include a general method to support interactive data editing in visualizations, a diverse collection of data editing gestures, a set of patterns to guide the process of designing visualization tools with data editing features, a declarative programming language for quickly building those tools, and a variety of built tools that show off real applications of data editing in visualizations. The project focuses on developing, evaluating, and distributing tools for scholarly research in the digital humanities. It tightly integrates education to bring together students and researchers from computer science, information science, and the humanities, and provide them with concrete opportunities to engage in authentic interdisciplinary collaboration. Scholarly research and education in the humanities involves open-ended exploration, analysis, and interpretation of complex data sets in diverse areas of study. This makes it an exemplary first target to demonstrate how gesture-based visual editing can be broadly applied to data analysis in virtually every segment of society. The broader impacts of the project will spring from the availability of a new, foundational, general-purpose methodology to support data entry, organization, annotation, and correction. Project products will include publications, tutorials, videos, the visualization gesture system as open source software, a compendium of data editing gestures, and a gallery of demonstration visualization tools for public download. Information on the project and resulting resources can be accessed on the project web site (http://www.cs.ou.edu/~weaver/nsf-career/).

对数据的可视化探索和分析对于推动人类工作的几乎每一个领域都越来越重要。无论是由人直接记录，还是间接使用机器记录，数据都捕捉到了我们对世界的观察和解释。当人们与数据交互时，它几乎总是以图形或文本等可视形式出现。该项目的目标是通过提供一种在可视化本身内创建和编辑数据的通用方法来极大地扩展交互式可视化的有用性。该项目的关键新想法是，可视化用户可以使用常见的输入设备执行一系列手势，以直观的形式直接表达他们的观察和解释。可视化不仅显示数据，而且还充当有意义的图形空间，在其中编辑数据。通过扩展当前流行的可视化工具和软件库中使用的数据处理工作流程和显示技术，我们可以灵活而富有表现力地将交互的细节转化为具有同步视觉反馈的精确数据变化。该项目的创新贡献将包括支持可视化中的交互式数据编辑的通用方法、多样化的数据编辑手势集合、用于指导具有数据编辑功能的可视化工具设计过程的一组模式、用于快速构建这些工具的声明性编程语言、以及展示可视化中数据编辑的真实应用的各种内置工具。该项目的重点是开发、评估和分发数字人文领域的学术研究工具。它将教育紧密结合在一起，将来自计算机科学、信息科学和人文科学的学生和研究人员聚集在一起，并为他们提供参与真正的跨学科合作的具体机会。人文学科的学术研究和教育涉及对不同研究领域的复杂数据集的开放式探索、分析和解释。这使得它成为示范的第一个目标，以演示基于手势的可视编辑如何被广泛应用于几乎社会各个阶层的数据分析。该项目的更广泛影响将来自一种新的、基础的、通用的方法的可用性，以支持数据输入、组织、注释和更正。项目产品将包括出版物、教程、视频、作为开源软件的可视化手势系统、数据编辑手势简编和供公众下载的演示可视化工具库。有关该项目的信息和所产生的资源可在项目网站(http://www.cs.ou.edu/~weaver/nsf-career/).)上查阅