Dynamic ensemble visualizations to support understanding for uncertain trajectories.
Dynamic ensemble visualizations to support understanding for uncertain trajectories.
复制标题
动态集成可视化支持对不确定轨迹的理解。
DOI：
10.1037/xap0000370
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Clegg, Benjamin A.
中科院分区：
文献类型：
--
作者：
Witt, Jessica K.;Clegg, Benjamin A.
在对不确定的空间轨迹（如风暴预报）做出决策时，人们依赖可视化来支持他们的理解。四个实验探讨新颖的视觉化-动态合奏。非专家使用可视化来解释飓风潜在路径的概率信息。实验1侧重于全球性的分布，并表明动态合奏意味着一个更大的区域比传统的不确定性锥的风险。实验2比较决定与锥与动态合奏在特定的个人位置。动态集成提供了更多的升值的风险分布的中心以外，并在从疏散到nonevacuation选择的过渡不那么突然。实验3比较了动态合奏与静态线合奏的决定。在两种情况下相似的疏散率表明，合奏，而不是动态，是更关键的功能。实验4研究了是否可以使用颜色编码的动态合奏包括一个额外的维度。决策对这一辅助特征作出了反应，受更严重后果威胁的地点的疏散率较高。结果突出了系统地改变通过集合传达的风险水平的能力，同时也传达了风险的持续性。总体研究结果表明，不确定的空间信息，使用动态集成的可行性。（PsycInfo数据库记录（c）2023阿帕，保留所有权利）
When making decisions about uncertain spatial trajectories, such as storm forecasts, people rely on visualizations to support their understanding. Four experiments explored novel visualizations—dynamic ensembles. Nonexperts used visualizations to interpret probabilistic information about potential paths of a hurricane. Experiment 1 focused on global properties of the distribution, and showed dynamic ensembles imply a larger area at risk than traditional cones of uncertainty. Experiment 2 compared decisions with cones versus dynamic ensembles at specific individual locations. Dynamic ensembles offer more appreciation of risk outside the center of the distribution, and less abrupt in transitions from evacuation to nonevacuation choices. Experiment 3 compared decisions for dynamic ensembles versus static line ensembles. Similar evacuation rates across the two conditions suggest ensembles, rather than dynamics, are the more critical feature. Experiment 4 examined whether an additional dimension can be included in dynamic ensembles using color coding. Decisions reacted to this ancillary feature, with higher evacuation rates for locations threatened by more severe outcomes. Outcomes highlight the ability to systematically vary the level of risk communicated through the ensembles while also communicating the continuous nature of the risk. The overall findings show the viability of presenting uncertain spatial information using dynamic ensembles.(PsycInfo Database Record (c) 2023 APA, all rights reserved)