论文标题
检查高维数据探索的分组和空间组织任务
An Examination of Grouping and Spatial Organization Tasks for High-Dimensional Data Exploration
论文作者
论文摘要
分析师如何考虑分组和空间操作？这个总体问题包含了许多调查点，包括了解分析师如何开始探索数据集，创建的分组/空间结构的类型以及对它们执行的操作，分组和空间结构之间的关系，决策分析师在探索单个观察值时的组成以及外部信息的作用。这项工作贡献了这项研究的设计和结果，其中要求一组参与者组织不熟悉的定量数据集中包含的数据。我们确定了参与者为设计其组织空间，讨论参与者执行的相互作用的几种总体方法，并提出设计建议，以提高利用分组（集群）和空间（降低）操作的未来高维数据探索工具的可用性。
How do analysts think about grouping and spatial operations? This overarching question incorporates a number of points for investigation, including understanding how analysts begin to explore a dataset, the types of grouping/spatial structures created and the operations performed on them, the relationship between grouping and spatial structures, the decisions analysts make when exploring individual observations, and the role of external information. This work contributes the design and results of such a study, in which a group of participants are asked to organize the data contained within an unfamiliar quantitative dataset. We identify several overarching approaches taken by participants to design their organizational space, discuss the interactions performed by the participants, and propose design recommendations to improve the usability of future high-dimensional data exploration tools that make use of grouping (clustering) and spatial (dimension reduction) operations.
