文本在可视化中的作用:注释如何塑造偏见的感知和影响预测
IEEE transactions on visualization and computer graphics
|December 1, 2023
概括
数据可视化中的文本显著影响知觉的作者偏见,而不是数据趋势. 仔细注释至关重要,以防止读者意见的两极分化.
科学领域:
- 人与计算机的交互
- 信息可视化 信息可视化
- 认知心理学 认知心理学
背景情况:
- 数据可视化中的文本注释可以影响读者的解释.
- 了解语义内容和措辞偏差的影响对于有效的数据通信至关重要.
研究的目的:
- 调查文本位置,语义内容和可视化中的偏见措辞如何影响数据趋势预测和被认为的作者偏见.
- 探索文本偏见和被认为的作者偏见之间的关系.
- 开发一种众包方法,用于生成有偏见的图表注释.
主要方法:
- 使用条形图和线图进行了两项经验研究.
- 雇佣的任务涉及数据趋势预测和偏差评估.
- 利用众包方法创建不同程度偏差的注释.
主要成果:
- 文本添加对数据趋势感知的影响最小.
- 观察到对作者偏见的感知有重大影响,与文本偏见的程度相关.
- 探索性分析表明数据预测和感知偏差之间的相互作用.
结论:
- 在可视化中通过文本表达的作者偏见强烈地影响了读者对该偏见的看法.
- 设计师必须注意文本元素,以避免两极分化读者的意见.
- 开发的众包方法为研究提供了一个创建受控偏见注释的工具.
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