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量化可视化振动:在规模上测量社会索引性
IEEE transactions on visualization and computer graphics
|November 25, 2025
概括
视觉化不仅传达了明确的数据,还传达了社会来源. 设计元素与数据相互作用,形成这些超越数据的解释,影响信任和公众的理解.
科学领域:
- 信息可视化 信息可视化
- 视觉化的社会学
- 人与计算机的交互
背景情况:
- 视觉化具有社会指数的功能,超越显式数据进行沟通.
- 前期研究检查了围绕数据可视化的公共话语.
研究的目的:
- 开发一个分析框架来描述关于一个文物的社会来源的推断.
- 调查设计特征如何影响这些"超数据"读数.
主要方法:
- 进行了归因引发调查.
- 分析了社会推理的描述性证据.
主要成果:
- 从可视化中得出的社会推断可以异步研究.
- 这些推断不受社会文化群体或数据素养的限制.
- 关于社会来源的推断可以影响信任评估.
- 设计特征,主题和数据信息相互作用,创建"超越数据"的读数.
结论:
- 关于社会来源的推断对设计和研究有重大影响.
- 将可视化研究扩大到包括社会文化现象的范围,提供了可行的设计建议.
- 解决公共数据传播方面的挑战需要了解这些更广泛的影响.
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