A Spatial Constraint Model for Manipulating Static Visualizations

Author:

Liu Can1ORCID,Zhang Yu2ORCID,Wu Cong1ORCID,Li Chen3ORCID,Yuan Xiaoru1ORCID

Affiliation:

1. Peking University, Beijing, China

2. University of Oxford, Oxford, UK

3. School of Design, Central Academy of Fine Arts, Beijing, China

Abstract

We introduce a spatial constraint model to characterize the positioning and interactions in visualizations, thereby facilitating the activation of static visualizations. Our model provides users with the capability to manipulate visualizations through operations such as selection, filtering, navigation, arrangement, and aggregation. Building upon this conceptual framework, we propose a prototype system designed to activate pre-existing visualizations by imbuing them with intelligent interactions. This augmentation is accomplished through the integration of visual objects with forces. The instantiation of our spatial constraint model enables seamless animated transitions between distinct visualization layouts. To demonstrate the efficacy of our approach, we present usage scenarios that involve the activation of visualizations within real-world contexts.

Funder

NSFC

Publisher

Association for Computing Machinery (ACM)

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