关键互动性:数据可视化中的探索和叙述
IEEE computer graphics and applications
|April 8, 2025
概括
我们介绍了关键的互动性,以探索数据可视化如何赋予用户权力. 这个概念检查了创作者和观众之间的控制平衡,促进了对数据叙事的更深入参与.
科学领域:
- 数据可视化 数据可视化
- 人与计算机的交互
- 科学传播科学传播
背景情况:
- 数据可视化中的交互性通常被视为分析工具.
- 现有的框架并没有完全捕捉到用户控制和作者意图的细微作用.
研究的目的:
- 提出并定义"关键交互性"作为研究数据可视化的概念.
- 分析权威和代理在用户数据交互中的谈判.
- 探索关键互动性如何将数据探索与叙事联系起来.
主要方法:
- 概念框架的发展.
- 分析了四个不同的案例研究 (科学传播,艺术史,人类学,气候倡导).
- 对数据准备工作和设计策略的反思.
主要成果:
- 关键的互动性集中在可视化创造者和观众之间的权力动态上.
- 它强调用户如何根据自己的条件导航和解释数据,从而影响叙事.
- 案例研究通过交互元素展示了探索和叙述之间的联系.
结论:
- 关键交互性为设计和理解数据可视化提供了一个新的镜头.
- 它强调赋予观众权力,同时承认作者结构.
- 建议设计策略,以有效地实施这一概念.
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