计算机科学
任务(项目管理)
集合(抽象数据类型)
元认知
可视化
点(几何)
机器学习
数据科学
认知
人工智能
情报检索
人机交互
心理学
数学
几何学
管理
神经科学
经济
程序设计语言
作者
Mahtab Eskandar,Wayne C.W. Giang
标识
DOI:10.1177/1071181321651281a
摘要
Individuals often struggle with tasks that involve uncertainty. Uncertainty visualizations are a type of cognitive aid that provides uncertainty information to help people with performing these tasks. However, the literature has shown that uncertainty visualizations differ in the extent they improve individuals’ task performance. We hypothesize that differences in the tasks can account for some of this variability. In this study, we aimed to create an initial classification of task types based on studies on uncertainty visualizations by reviewing a diverse set of recent research involving uncertainty visualizations. We classified the experimental tasks found in these papers into four groups: uncertainty assessment, forecasting, decision making, and metacognition. Then, we reviewed the result of the experiments in terms of the similarities and differences in the use of uncertainty visualizations within and between tasks. This classification serves as a starting point for further research into the effective design of visualizations of uncertainty.
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