Wong Pak Chung, Foote Harlan, Mackey Patrick, Perrine Ken, Chin George
Pacific Northwest National Laboratory, Richland, WA 99352, USA.
IEEE Trans Vis Comput Graph. 2006 Nov-Dec;12(6):1386-98. doi: 10.1109/TVCG.2006.91.
We introduce an interactive graph generator, GreenSketch, designed to facilitate the creation of descriptive graphs required for different visual analytics tasks. The human-centric design approach of GreenSketch enables users to master the creation process without specific training or prior knowledge of graph model theory. The customized user interface encourages users to gain insight into the connection between the compact matrix representation and the topology of a graph layout when they sketch their graphs. Both the human-enforced and machine-generated randomnesses supported by GreenSketch provide the flexibility needed to address the uncertainty factor in many analytical tasks. This paper describes more than two dozen examples that cover a wide variety of graph creations from a single line of nodes to a real-life small-world network that describes a snapshot of telephone connections. While the discussion focuses mainly on the design of GreenSketch, we include a case study that applies the technology in a visual analytics environment and a usability study that evaluates the strengths and weaknesses of our design approach.
我们介绍了一种交互式图形生成器GreenSketch，旨在便于创建不同视觉分析任务所需的描述性图形。GreenSketch以用户为中心的设计方法使用户无需特定培训或图形模型理论的先验知识就能掌握创建过程。定制的用户界面鼓励用户在绘制图形时深入了解紧凑矩阵表示与图形布局拓扑之间的联系。GreenSketch支持的人工强制和机器生成的随机性都提供了应对许多分析任务中不确定性因素所需的灵活性。本文描述了二十多个示例，涵盖了从单行节点到描述电话连接快照的现实生活小世界网络等各种各样的图形创建。虽然讨论主要集中在GreenSketch的设计上，但我们还包括一个在视觉分析环境中应用该技术的案例研究以及一个评估我们设计方法优缺点的可用性研究。
