Perception of Differences in Directed Acyclic Graphs: Influence Factors & Cognitive Strategies
Perception of Differences in Directed Acyclic Graphs: Influence Factors & Cognitive Strategies
复制标题
有向无环图差异的感知：影响因素
DOI：
10.1145/3335082.3335083
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Kathrin Ballweg
中科院分区：
文献类型：
--
作者：
Günter Wallner;Margit Pohl;Tatiana von Landesberger;Kathrin Ballweg
图形的视觉比较在各个学科中已经变得普遍。为了支持这项任务，有必要生成有助于感知差异的图形。然而，虽然可读性的单图已被广泛调查，认识到一般的有向无环图（DAGs）的差异，具体是相当有限的，为此，我们进行了一个探索性的定性研究，以确定哪些因素影响的变化，DAGs的看法，并更好地了解所采取的策略进行比较。具体来说，我们研究了不同结构和大小（约50至100个节点）的DAG对，并并排显示。基于22名参与者的视频记录和出声思考协议，我们确定了八个因素，包括边缘交叉，形状，对称性，白色空间和密度影响差异的感知。此外，我们确定了三种用于比较图的策略：逐层，分层和这两种策略的混合。参与者根据图表结构灵活地调整了这些策略。
Visual comparison of graphs has become widespread in various disciplines. To support this task, it is necessary to generate graph drawings that facilitate the perception of differences. However, while readability of single graphs has been widely investigated, knowledge about the recognition of differences in graphs in general and directed acyclic graphs (DAGs) specifically is quite limited.Towards this end, we conducted an exploratory qualitative study to ascertain which factors influence the perception of changes in DAGs and to better understand the strategies adopted to compare them. Specifically, we investigated pairs of DAGs of varying structure and size (about 50 to 100 nodes) and displayed side-by-side. Based on video recordings and thinking aloud protocols of 22 participants we identified eight factors including edge crossings, shape, symmetry, white space, and density to affect the perception of differences. In addition, we identified three strategies which were used to compare the graphs: layer-by-layer, hierarchical, and a mixture of these two. These strategies were adapted flexibly by the participants based on the graph structure.
登录
查看更多内容
影响因子：
2.5
作者：
Utkarsh Soni;Yafeng Lu;Brett Hansen;H. Purchase;S. Kobourov;Ross Maciejewski
通讯作者：
Utkarsh Soni;Yafeng Lu;Brett Hansen;H. Purchase;S. Kobourov;Ross Maciejewski
基于视觉感知的图形布局方法评价
影响因子：
1.8
作者：
Jiafan Li;Yuhua Liu;Changbo Wang
通讯作者：
Changbo Wang
自适应策略在线性推理中的应用
影响因子：
3.3
作者：
V. Dierckx;A. Vandierendonck
通讯作者：
A. Vandierendonck
实践中的定性内容分析
影响因子：
9.3
作者：
Margrit Schreier
通讯作者：
Margrit Schreier
人类认知的战略方面：对理解人类推理的影响。
影响因子：
2.5
作者：
P. Lemaire;Ludovic Fabre
通讯作者：
Ludovic Fabre