Data Illustrator
Autor: | Alan Wilson, Zhicheng Liu, Sam Grigg, John Thompson, James Delorey, John Stasko, Mira Dontcheva, Kerr Bernard James |
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Rok vydání: | 2018 |
Předmět: |
business.industry
Computer science 05 social sciences Data binding 020207 software engineering 02 engineering and technology Graphic design Visualization Vector graphics Data visualization Human–computer interaction 0202 electrical engineering electronic engineering information engineering Authoring system 0501 psychology and cognitive sciences Graphics business 050107 human factors Graphical user interface |
Zdroj: | CHI |
Popis: | Building graphical user interfaces for visualization authoring is challenging as one must reconcile the tension between flexible graphics manipulation and procedural visualization generation based on a graphical grammar or declarative languages. To better support designers' workflows and practices, we propose Data Illustrator, a novel visualization framework. In our approach, all visualizations are initially vector graphics; data binding is applied when necessary and only constrains interactive manipulation to that data bound property. The framework augments graphic design tools with new concepts and operators, and describes the structure and generation of a variety of visualizations. Based on the framework, we design and implement a visualization authoring system. The system extends interaction techniques in modern vector design tools for direct manipulation of visualization configurations and parameters. We demonstrate the expressive power of our approach through a variety of examples. A qualitative study shows that designers can use our framework to compose visualizations. |
Databáze: | OpenAIRE |
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