走向集体讲故事:在数据可视化中调查受众注释
IEEE computer graphics and applications
|March 4, 2025
概括
数据可视化中的个人注释改变了集体讲故事. 读者评论COVID-19数据可视化促进同情心和个人反思,成为关键的焦点.
科学领域:
- 数据可视化 数据可视化
- 人与计算机的交互
- 社交计算社会计算
背景情况:
- 批判性地图学探讨了在绘制地图中的个人观点.
- 数据可视化可以通过用户生成的内容来增强.
- 集体讲故事利用共享的经验来解释数据.
研究的目的:
- 在数据可视化中调查个人注释,用于集体讲故事.
- 了解读者评论如何影响可视化解释.
- 检查社会痕迹在数据参与中的作用.
主要方法:
- 对互动日志和读者调查的分析.
- 视觉化注释和采访的定性分析.
- 研究了用户参与COVID-19数据可视化.
主要成果:
- 读者注释有助于同情和反思个人经历.
- 标注作为社会痕迹,引导用户通过可视化.
- 嵌入式注释经常成为主要焦点,掩盖了数据编码.
结论:
- 在可视化注释中的个人观点使强大的集体数据讲故事成为可能.
- 视觉化中的社会痕迹增强了读者的联系和上下文化.
- 标注显著塑造了数据可视化的理解和重点.
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