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"影响公众"的背景故事:选举预测可视化的设计编年史
IEEE transactions on visualization and computer graphics
|September 10, 2024
概括
本研究探讨了选举预测可视化,详细介绍了设计选择和挑战. 确定了对美国选举背景中的解释不确定性的关键见解,为更好的可视化设计提供了信息.
科学领域:
- 信息可视化 信息可视化
- 人与计算机的交互
- 政治科学 政治科学是指政治学.
背景情况:
- 选举预测可视化显著影响公众的看法.
- 以前的研究往往缺乏详细的设计探索和评估方法.
- 了解公众对预测不确定性的解释至关重要.
研究的目的:
- 记录设计旅程和在创建选举预测可视化中的挑战.
- 为两党选举预测可视化设计空间的正式化.
- 确定对美国选举中不确定性可视化解释的核心见解.
主要方法:
- 开发了一个包含数据转换,视觉道和动画叙事的设计空间.
- 对13名参与者进行了10个原型可视化的定性评估.
- 基于参与者的反和识别的见解,代精细化可视化.
主要成果:
- 为选举预测可视化提供了一个设计空间.
- 确定了六个核心洞察力,以了解公众如何解释美国选举预测中的不确定性.
- 开发了实用的设计课程,并为从业者和设计师确定了挑战.
结论:
- 该研究提供了一种方法方法来设计和评估面向公众的可视化.
- 获得的洞察力可以提高选举预测可视化的清晰度和可信度.
- 这项工作旨在为广大公众激发对复杂可视化设计和评估的进一步研究.
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