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Effective information visualization: a study of graph drawing aesthetics and algorithms

机译:有效的信息可视化:图形绘制美学和算法研究

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Information visualisation systems which generate diagrams representing discrete relational infor- mation must consider potential users if they are to be effective. Many algorithms which render an abstract graph structure as a diagram are valued for their conformance to aesthetic criteria (e.g. reducing the number of edge crossings, maximising symmetry), or for computational efficiency. They are not usually judged on their ability to produce diagrams that maximise human performance. This paper presents the results of experiments investigating the relative worth (from an HCI point of view) of graph drawing aesthetics and algorithms using a single graph. The results indicate that while some individual aesthetics affect human performance, it is difficult to say that one algorithm is 'better' than another from a relational understanding point of view. Designers of automatic layout algorithms, and the systems which embody such algorithms, can benefit from this study and this human-centred approach, by adapting their methods to focus on user concerns, rather than computational ones.
机译:生成代表离散关系信息的图表的信息可视化系统必须考虑潜在的用户才能有效。许多将抽象图形结构呈现为图表的算法都因其符合美学标准(例如减少边缘交叉的数量,最大化对称性)或计算效率而受到重视。通常不会根据他们产生最大化人类绩效的图表的能力来判断他们。本文提供了实验结果,这些结果研究了使用单个图形的图形美学和算法的相对价值(从HCI角度)。结果表明,尽管某些美学影响了人类的表现,但从关系理解的角度来看,很难说一种算法比另一种算法“更好”。自动布局算法的设计者以及体现这种算法的系统,可以通过使他们的方法专注于用户关注点而不是计算关注点,而从这项研究和这种以人为本的方法中受益。

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