"我遇到了一个垃圾":从公众的角度理解数据可视化的设计缺陷
IEEE transactions on visualization and computer graphics
|September 10, 2024
概括
这项研究分析了公众对数据可视化缺陷的看法,在错误信息,不信息性和不社交性等类别中确定了76个特定的设计问题. 它揭示了七个根本原因,以指导未来的研究,创造更好的可视化.
科学领域:
- 数据可视化 数据可视化
- 人与计算机的交互
- 信息科学 信息科学 信息科学
背景情况:
- 可视化社区有着分析设计缺陷的历史.
- 现有研究需要更多的经验证据,新的缺陷特征,系统的框架,以及对潜在原因的理解.
研究的目的:
- 从公众的角度调查可视化设计缺陷.
- 制定一个框架来对发现的缺陷进行分类.
- 探索可视化设计缺陷背后的原因.
主要方法:
- 从一个在线画廊分析了2227个有缺陷的数据可视化.
- 衍生出与设计任务相关的76个设计缺陷的分类.
- 将漏洞分为错误信息,不信息性和不社交性等类别.
- 进行了五个重点小组,以探索缺陷的原因.
主要成果:
- 确定了76个特定的设计缺陷,分为错误信息,不信息性和不社交性.
- 发现了导致这些可视化设计缺陷的七个潜在原因.
- 提出了一个研究议程,其中有九个改进的机会.
结论:
- 了解公众的看法对于识别和解决可视化设计缺陷至关重要.
- 对缺陷及其原因进行系统的分类和分析对于推进可视化研究至关重要.
- 该研究为开发更有效和可靠的数据可视化提供了基础.
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