Kelp Diagrams: Point Set Membership Visualization
Computer Graphics Forum
Comparative Visual Analysis of 2D Function Ensembles
Computer Graphics Forum
ConnectedCharts: Explicit Visualization of Relationships between Data Graphics
Computer Graphics Forum
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
TexMo: a multi-language development environment
ECMFA'12 Proceedings of the 8th European conference on Modelling Foundations and Applications
Cross-language support mechanisms significantly aid software development
MODELS'12 Proceedings of the 15th international conference on Model Driven Engineering Languages and Systems
Visual analysis of set relations in a graph
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Evaluating, comparing, and interpreting related pieces of information are tasks that are commonly performed during visual data analysis and in many kinds of information-intensive work. Synchronized visual highlighting of related elements is a well-known technique used to assist this task. An alternative approach, which is more invasive but also more expressive is visual linking in which line connections are rendered between related elements. In this work, we present context-preserving visual links as a new method for generating visual links. The method specifically aims to fulfill the following two goals: first, visual links should minimize the occlusion of important information; second, links should visually stand out from surrounding information by minimizing visual interference. We employ an image-based analysis of visual saliency to determine the important regions in the original representation. A consequence of the image-based approach is that our technique is application-independent and can be employed in a large number of visual data analysis scenarios in which the underlying content cannot or should not be altered. We conducted a controlled experiment that indicates that users can find linked elements in complex visualizations more quickly and with greater subjective satisfaction than in complex visualizations in which plain highlighting is used. Context-preserving visual links were perceived as visually more attractive than traditional visual links that do not account for the context information.