叙事可视化:描绘累积的风险和对数据的信任度的增加
Madison Fansher1, Logan Walls2, Chenxu Hao3
1Department of Physical Medicine & Rehabilitation, University of Michigan, Ann Arbor, USA. mfansher@umich.edu.
Cognitive research: principles and implications
|February 21, 2025
概括
叙事可视化通过增加对数据的理解和信任来改善风险沟通. 这种方法有助于人们在面对令人惊的科学信息时做出更好的决策,比如在COVID-19大流行期间.
科学领域:
- 数据可视化数据可视化
- 风险沟通风险沟通是什么
- 科学传播是科学传播.
背景情况:
- 令人惊的数据可视化可以侵蚀信任,导致不良的风险决策,特别是当事先知识有限时,就像在COVID-19大流行期间看到的那样.
- 有效的风险沟通对于公共健康和安全至关重要,特别是对于新型威胁.
研究的目的:
- 探索叙事可视化的有效性,平衡静态可视化,交互式模拟和事的好处.
- 确定叙事可视化是否可以减轻风险沟通中静态可视化引起的担忧.
- 研究叙事可视化增强风险感知和数据信任的机制.
主要方法:
- 实证研究将叙事可视化与静态可视化进行比较,以传达COVID-19传播风险.
- 调解分析,以评估感知理解和数据信任对风险问题的影响.
主要成果:
- 观看叙事可视化减轻了静态可视化引起的对COVID-19传播风险的减少关注 (研究1).
- 叙事可视化比静态可视化更有效,通过增强对数据的感知理解和信任,增加对大风险的担忧 (研究2).
结论:
- 叙事可视化代表了一个独特而强大的科学沟通工具类.
- 这些可视化在具有令人惊的数据和经验理解至关重要的背景下特别有价值.
- 叙事可视化可以提高公众对科学数据的参与和信任,从而使风险评估更为明智.
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