活化疫情:研究预测视觉对风险感知,时间紧迫性和行为意图的影响
Rachel A Smith1, Youzhen Su1, Katie Yan2
1Department of Communication Arts & Sciences, The Pennsylvania State University.
Health communication
|August 27, 2024
概括
在健康警报中可视化流行病学预测数据可能不会改善公众的反应. 研究表明,预测视觉图像有时会降低感知到的威胁和解决方案的有效性,影响行为意图.
科学领域:
- 公共卫生 公共卫生
- 风险沟通 风险沟通
- 数据可视化 数据可视化
背景情况:
- 在COVID-19大流行期间,流行病学数据的可视化变得很突出.
- 预报可视化,通常是线图,预测灾害轨迹.
- 了解视觉选择在这些预测中的影响至关重要.
研究的目的:
- 调查预测可视化设计选择如何影响公众的风险感知和行为意图.
- 在预测图像中检查结果重点 (病例与死亡) 和数据量 (更多与少) 的影响.
主要方法:
- 一个在线实验,236名参与者接触到不同的预测可视化或仅文本的健康警报.
- 参与者看到了八个视觉版本中的一个或没有视觉版本.
- 行为意图通过与风险相关的评估 (威胁和有效性) 来衡量.
主要成果:
- 健康警报中的预测视觉效果并不总是比纯文本警报更有效.
- 一些视觉效果表现更差,导致感知到的威胁紧迫性降低.
- 参与者还评估建议的解决方案,当暴露在某些视觉效果时,效果较差.
结论:
- 在公共卫生警报中可视化预测数据可能会对风险感知产生意想不到的负面影响.
- 卫生沟通人员应仔细考虑流行病学可视化中的设计选择.
- 需要进一步的研究来优化公共卫生紧急情况的视觉传播策略.
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