Comparing Graph Layouts for Vertex Selection Tasks

R. Klapaukh, David J. Pearce, S. Marshall
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Abstract

Different graph layouts can affect a user's ability to complete both passive understanding and active interaction tasks. While most research exploring the effects of graph layout looks at a user's ability to accomplish a passive understanding task, this paper's novel contribution is looking at their ability to complete a selection task. Specifically we compare two graph layout algorithms with respect to their suitability for free-form multi-selection. The two layout algorithms are drawn from our previous work which established that they have significantly different understandability metric scores. A motivation for this choice was to explore whether graphs with significantly different metric scores will also have significantly different performance for selection tasks. We carried out our comparison by means of a user experiment that followed a within-subjects design, where 74 users were given a PlayStation Move controller to select vertices in 20 pairs of graphs. We found that while there was no difference in the speed of interaction there was a difference in the number of errors users made between the two layout algorithms.
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比较顶点选择任务的图形布局
不同的图形布局会影响用户完成被动理解和主动交互任务的能力。虽然大多数探索图形布局影响的研究着眼于用户完成被动理解任务的能力,但这篇论文的新颖贡献是着眼于他们完成选择任务的能力。具体来说,我们比较了两种图形布局算法对自由形式多选择的适用性。这两种布局算法是从我们以前的工作中得出的,这些工作确定了它们具有显着不同的可理解性度量分数。这种选择的动机是探索具有显著不同度量分数的图是否也会在选择任务中具有显著不同的性能。我们通过遵循主题内设计的用户实验进行了比较,其中74名用户获得PlayStation Move控制器,以在20对图中选择顶点。我们发现,虽然交互速度没有差异,但用户在两种布局算法之间犯的错误数量有所不同。
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