论文标题
模式在详细信息中：用于在多元矩阵可视化中定位，搜索和上下文化细节的交互技术评估
The Pattern is in the Details: An Evaluation of Interaction Techniques for Locating, Searching, and Contextualizing Details in Multivariate Matrix Visualizations
论文作者
论文摘要
矩阵可视化被广泛用于显示大规模网络，表格，设置或顺序数据。它们通常仅编码每个单元格，例如，通过颜色编码一个值。但是，在探索多元数据时，这可以极大地限制可视化的实用程序，其中每个单元格代表一个具有多个值的数据点（称为详细信息）。三种完善的交互方法可以适用于多变量矩阵可视化（或MMV）：焦点+上下文，pan＆Zoom和概述+细节。但是，几乎没有关于这些方法在探索MMV中的比较的经验知识。我们报告了两项研究，将它们比较了MMV中的定位，搜索和上下文化细节。我们首先比较了四种焦点+上下文技术，发现鱼眼镜的总体表现优于其他镜头。然后，我们将鱼眼镜头，pan＆Zoom和概述+细节进行了比较。我们发现，Pan＆Zoom在定位和搜索细节方面更快，并且在上下文相关的细节中与概述+细节一样好。
Matrix visualizations are widely used to display large-scale network, tabular, set, or sequential data. They typically only encode a single value per cell, e.g., through color. However, this can greatly limit the visualizations' utility when exploring multivariate data, where each cell represents a data point with multiple values (referred to as details). Three well-established interaction approaches can be applicable in multivariate matrix visualizations (or MMV): focus+context, pan&zoom, and overview+detail. However, there is little empirical knowledge of how these approaches compare in exploring MMV. We report on two studies comparing them for locating, searching, and contextualizing details in MMV. We first compared four focus+context techniques and found that the fisheye lens overall outperformed the others. We then compared the fisheye lens, to pan&zoom and overview+detail. We found that pan&zoom was faster in locating and searching details, and as good as overview+detail in contextualizing details.
