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首页> 外文学位 >A user interface for coordinating visualizations based on relational schemata: Snap-together visualization.
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A user interface for coordinating visualizations based on relational schemata: Snap-together visualization.

机译：一个用于基于关系图式协调可视化的用户界面：齐心协力的可视化。

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摘要

In the field of information visualization, researchers and developers have created many types of visualizations, or visual depictions of information. User interface designers often coordinate multiple visualizations, taking advantage of the strengths of each, to enable users to rapidly explore complex information. However, the combination of visualizations and coordinations needed in any given situation depends heavily on the data, tasks, and users. Consequently, the number of needed combinations explodes, and implementation becomes intractable.; Snap-Together Visualization (Snap) is a conceptual model, user interface, software architecture, and implemented system that enables users to rapidly and dynamically construct coordinated-visualization interfaces, customized for their data, without programming. Users load data into desired visualizations, then create coordinations between them, such as brushing and linking, overview and detail, and drill down.; This dissertation presents four primary contributions. First, Snap formalizes a conceptual model of visualization coordination that is based on the relational data model. Visualizations display relations, and coordinations tightly couple user interaction across relational joins.; Second, Snap's user interface enables the construction of coordinated-visualization interfaces without programming. Data users can dynamically mix and match visualizations and coordinations while exploring. Data disseminators can distribute appropriate interfaces with their data. Interface designers can rapidly prototype many alternatives.; Third, Snap's software architecture enables flexibility in data, visualizations, and coordinations. Visualization developers can easily snap-enable their independent visualizations using a simple API, allowing users to coordinate them with many other visualizations.; Fourth, empirical studies of Snap reveal benefits, cognitive issues, and usability concerns. Six data-savvy users successfully, enthusiastically, and rapidly designed powerful coordinated-visualization interfaces of their own. In a study with 18 subjects, an overview-and-detail coordination reliably improved user performance by 30--80% over detail-only and uncoordinated interfaces for most tasks.; Snap has proven useful in a variety of domains, including census statistics and geography, digital photo libraries, case-law documents, web-site logs, and traffic incident data.
机译：在信息可视化领域，研究人员和开发人员创建了许多类型的可视化或信息的视觉表示。用户界面设计人员通常会利用各自的优势来协调多个可视化，以使用户能够快速浏览复杂的信息。但是，在任何给定情况下所需的可视化和协调的结合在很大程度上取决于数据，任务和用户。因此，所需组合的数量激增，实现变得棘手。 Snap-Together Visualization（Snap）是概念模型，用户界面，软件体系结构和已实现的系统，可让用户快速动态地构建针对其数据而定制的协调可视化界面，而无需进行编程。用户将数据加载到所需的可视化文件中，然后在它们之间创建协调，如刷和链接，概述和详细信息，以及向下钻取。本文提出了四个主要的贡献。首先，Snap正式化了基于关系数据模型的可视化协调的概念模型。可视化显示关系，并且协调将跨关系联接的用户交互紧密地耦合在一起。其次，Snap的用户界面无需编程即可构建协调可视化界面。数据用户可以在浏览时动态地混合并匹配可视化和协调。数据分发器可以与它们的数据一起分发适当的接口。接口设计人员可以快速创建许多替代产品的原型。第三，Snap的软件架构可实现数据，可视化和协调方面的灵活性。可视化开发人员可以使用简单的API轻松地启用其独立的可视化，从而允许用户与许多其他可视化进行协调。第四，对Snap的实证研究揭示了好处，认知问题和可用性问题。六个精通数据的用户成功，热情且迅速地设计了自己的功能强大的协调可视化界面。在一项包含18个主题的研究中，对于大多数任务而言，概述和详细信息协调比仅细节和不协调的界面可靠地将用户性能提高了30--80％。事实证明，Snap在许多领域都非常有用，包括人口普查统计数据和地理区域，数字照片库，判例法文档，网站日志和交通事故数据。

著录项

  • 作者

    North, Christopher Loy.;

  • 作者单位

    University of Maryland, College Park.;

  • 授予单位 University of Maryland, College Park.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 165 p.
  • 总页数 165
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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