论文标题
网络数据的触觉表示：文本，矩阵或图表？
Tactile Presentation of Network Data: Text, Matrix or Diagram?
论文作者
论文摘要
可视化通常用于了解社会，生物学和其他类型的网络。目前，我们不知道如何有效地向盲人或低视觉（BLV）的人提供网络数据。我们进行了一项对照研究，其中8位BLV参与者比较了四个触觉表示：有机节点链接图，网格节点链接图，邻接矩阵和盲文列表。我们发现，节点链接表示是优选的，并且对于路径跟随和群集标识更有效，而矩阵和列表则更好地适用于邻接任务。这与相应的视觉表示形式的发现很大程度上一致。
Visualisations are commonly used to understand social, biological and other kinds of networks. Currently, we do not know how to effectively present network data to people who are blind or have low-vision (BLV). We ran a controlled study with 8 BLV participants comparing four tactile representations: organic node-link diagram, grid node-link diagram, adjacency matrix and braille list. We found that the node-link representations were preferred and more effective for path following and cluster identification while the matrix and list were better for adjacency tasks. This is broadly in line with findings for the corresponding visual representations.
