标注中常见实践的定性分析:分类学和设计空间
IEEE transactions on visualization and computer graphics
|September 9, 2024
概括
这项研究分析了1800多个注释图表,以创建一个设计空间,以实现有效的可视化注释. 它揭示了更好的数据通信的常用实践和关键设计选择.
科学领域:
- 数据可视化 数据可视化
- 人与计算机的交互
- 信息设计信息设计
背景情况:
- 标注对于理解可视化至关重要,有助于探索和讲故事.
- 现有的研究缺乏一个结构化的设计空间,用于共同的注释实践.
- 有效的注释策略对于清晰的数据沟通至关重要.
研究的目的:
- 调查1800多个静态图表中的实际注释使用模式.
- 确定图表注释的分析目的,机制和数据源.
- 将发现综合到一个设计空间中,以便在图表中进行有效的注释.
主要方法:
- 现实世界注释图表的大型数据集的定性编码.
- 分析注释使用模式,包括目的,机制和数据源.
- 基于经验发现的设计空间的开发.
主要成果:
- 识别了注释的常见分析目的 (例如,呈现,总结,比较数据).
- 标志性注释机制,包括类型,组合和跨图表类型的频率.
- 建立了一个设计空间,为图表注释创建提供实用指导.
结论:
- 开发的设计空间为增强可视化洞察力沟通提供了一个框架.
- 了解注释实践是设计更有效的数据可视化的关键.
- 这项研究弥合了注释理论与数据可视化中的实际应用之间的差距.
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