从信息到选择:对决策可视化工具的批判性调查
IEEE transactions on visualization and computer graphics
|October 23, 2023
概括
大多数可视化工具支持数据探索,但很少有助于设计和选择等决策阶段. 未来的工具需要更多的灵活性和优先支持,以获得更好的决策支持系统.
科学领域:
- 信息可视化 信息可视化
- 决策科学 决策科学 决策科学
- 人与计算机的交互
背景情况:
- 决策涉及智能,设计和选择阶段.
- 可视化工具主要支持情报 (数据探索) 阶段.
- 我们对可视化如何支持设计和选择阶段的理解有限.
研究的目的:
- 评估可视化系统支持决策设计和选择阶段的程度和方式.
- 从主要的可视化会议和期刊中审查以决策为中心的可视化工具.
- 确定可视化工具在支持整个决策过程中的机遇和挑战.
主要方法:
- 对可视化工具进行了全面的文献审查.
- 使用演编码和深入分析VIS,EuroVis和CHI的出版物.
- 基于替代品/标准/偏好的可见性和操纵灵活性进行评估的工具.
主要成果:
- 缺乏可视化工具支持所有三个决策阶段 (智能,设计,选择).
- 大多数工具为决策标准和替代方案提供了良好的可见性.
- 操纵这些元素的灵活性往往是有限的,对决策偏好的支持显著缺乏.
结论:
- 可视化工具具有显著的潜力,可以支持所有决策阶段.
- 提高灵活性,探索新范式,增加用户控制的算法支持对于改善选择阶段至关重要.
- 未来的研究应该专注于开发更全面的决策支持可视化系统.
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