Libra: An Interaction Model for Data Visualization

要旨

While existing visualization libraries enable the reuse, extension, and combination of static visualizations, achieving the same for interactions remains nearly impossible. We contribute an interaction model and its implementation to achieve this goal. Our model enables the creation of interactions that support direct manipulation, enforce software modularity by clearly separating visualizations from interactions, and ensure compatibility with existing visualization systems. Interaction management is achieved through an instrument that receives events from the view, dispatches these events to graphical layers containing objects, and then triggers actions. We present a JavaScript prototype implementation of our model called Libra.js, enabling the specification of interactions for visualizations created by different libraries. We demonstrate the effectiveness of Libra by describing and generating a wide range of existing interaction techniques. We evaluate Libra.js through diverse examples, a metric-based notation comparison, and a performance benchmark analysis.

受賞
Honorable Mention
著者
Yue Zhao
School of Computer Science and Technology, Qingdao, Shandong, China
Yunhai Wang
Renmin University of China, Beijing, China
Xu Luo
Shandong University, Qingdao, China
Yanyan Wang
Ant Group, Hangzhou, China
Jean-Daniel Fekete
Inria, Saclay, France
DOI

10.1145/3706598.3713769

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713769

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Visualization

G302
7 件の発表
2025-04-29 01:20:00
2025-04-29 02:50:00
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