在峰值:在数据视频中创建高潮的实证模式
概括
这项研究介绍了40种创建情感吸引力的数据视频高潮的新模式,这些模式来自情感理论. 用户研究证实了这些模式显著提高了观众在数据可视化中的情感参与.
科学领域:
- 数据可视化 数据可视化
- 人与计算机的交互
- 情感计算是一种情感计算.
背景情况:
- 数据视频越来越受欢迎,但缺乏具体的设计指导,以最大限度地提高情感影响,特别是在叙事高潮时.
- 情感参与对于有效的数据沟通至关重要,但目前的设计实践为实现这一目标提供了有限的支持.
研究的目的:
- 为了解决在设计情感共数据视频高潮方面缺乏指导.
- 根据情感理论,在数据视频中推导和验证设计模式,以制作有影响力的叙事高潮.
主要方法:
- 对96个数据视频高潮的分析,使用Plutchik的基本情感模型将其分类为八个情感维度.
- 基于数据分析,为叙事高潮制定40个设计模式.
- 用户研究与48名参与者比较数据视频创建的衍生模式,没有模式,和基线模式.
主要成果:
- 专家和普通观众的评估表明,使用衍生模式的数据视频导致了更具情感吸引力的高潮.
- 发现所制定的模式清晰,实用,有效地增强了情感共.
- 在使用新设计模式的组中观察到情绪参与度的统计学上显著改善.
结论:
- 开发的模式为设计师提供了有效的,基于证据的指导,旨在增加数据视频中的情感参与.
- 利用情感理论和经验分析可以为数据可视化讲故事提供实用的设计模式.
- 这项研究为数据可视化领域做出了贡献,提供了通过情感设计增强观众体验的具体策略.
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