作为事件的动态数据可视化:对划分动态地图的框架和变化显著性的影响
1Leibniz-Institut für Wissensmedien, Tübingen, Germany. r.pauly@iwm-tuebingen.de.
Cognitive research: principles and implications
|October 31, 2025
概括
事件细分理论适用于动态地图,视觉线索和概念框架影响人们如何感知变化. 当视觉突出和框架与描绘的趋势保持一致时,事件感知中的协议会增加.
科学领域:
- 认知心理学 认知心理学
- 信息可视化 信息可视化
- 人与计算机的交互
背景情况:
- 事件细分理论解释了人类如何将连续的经验划分为离散的事件.
- 之前的研究集中在自然主义刺激上,让对数据可视化的概括性未被探索.
研究的目的:
- 调查事件细分理论是否适用于动态主题地图.
- 检查感知和概念因素如何影响可视化中的细分协议.
主要方法:
- 使用动态主题地图描绘虚构的昆虫种群变化的三个实验.
- 操纵趋势方向,概念框架 (危/侵入性) 和感知突出性 (颜色尺度,空间模式).
主要成果:
- 动态地图中的个人间细分协议发生在偶然之外,并受到趋势方向的影响.
- 发现了三方相互作用:当框架与趋势方向相匹配时,一致性更高,但只有高视觉突出.
- 结果部分复制,显示在下降显著且被列为危时,对负面趋势的同意程度更高.
结论:
- 象征性可视化受到事件细分过程的影响.
- 无论是自下而上的感知特征还是自上而下的概念期望,都对在可视化中形成和更新内部事件模型至关重要.
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