数据:重复使用和调整基于SVG的可视化示例与大型多式模式模型
IEEE transactions on visualization and computer graphics
|November 20, 2025
概括
通过调整高质量的示例,DataWink使用户能够创建自定义数据可视化. 该系统使用大型多式模式 (LMM) 来简化非专家的可视化创建.
科学领域:
- 计算机科学 计算机科学
- 人与计算机的交互
- 数据可视化 数据可视化
背景情况:
- 对于缺乏设计专业知识或工具熟悉度的用户来说,创建美观的数据可视化是很困难的.
- 现有的可视化工具往往具有的学习曲线.
研究的目的:
- 通过调整现有的高质量示例来创建定制数据可视化的新系统DataWink.
- 为了使设计或技术技能有限的用户能够生成个性化的可视化.
主要方法:
- 使用大型多式模式 (LMM) 来从SVG可视化示例中提取数据编码.
- 开发了一个介质表示,将SVG原始和可视化程序连接起来.
- 集成了一个用于用户目标表达的对话代理,以及用于外观控制的按需小部件生成.
- 实现了一个交互式接口,用于修改数据映射和视觉设计元素.
主要成果:
- 通过一个用户研究 (N=12) 来评估DataWink,该研究涉及复制和自由形式探索任务.
- 参与者对DataWink的可学习性和个性化创作中的有效性进行了认可.
- 在用户修改过程中,系统成功地保持了美学质量.
结论:
- 以实例为导向的方法显示了民主化数据可视化创建的巨大潜力.
- DataWink为寻求创建定制的用户提供了可行的解决方案,在没有广泛的专业知识的情况下,美学上令人愉快的可视化.
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