{"title":"The Aesthetics of Diagrams","authors":"Michael Burch","doi":"10.5220/0005357502620267","DOIUrl":null,"url":null,"abstract":"Diagrammatic representations are omnipresent and are used in various application domains. One of their major goal, in particular for information visualization, is to make data visual in a way that a spectator can easily understand the graphical encoding to finally derive insights from the data. As we see, there are various different ways to visually depict data by using visual features in various combinations. In this paper we come up with some thoughts about existing diagram styles, for which we first discuss the benefits and drawbacks of each of them focusing on aesthetics based on readability. Additionally, we describe some initial results on the aesthetics of diagrams which we recorded in a web-based experiment. In this, we asked participants to vote for one of two given diagrams of a given repertoire of 70 of them covering all examined aspects which focuses more on aesthetics in the sense of beauty, not readability. The major result of this experiment unhides a trend towards colored, 3D, and radial diagrams which stands somewhat in contrast to readability user studies in information visualization oftentimes tending towards 2D and Cartesian diagrams for data exploration.","PeriodicalId":326087,"journal":{"name":"International Conference on Information Visualization Theory and Applications","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Visualization Theory and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0005357502620267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Diagrammatic representations are omnipresent and are used in various application domains. One of their major goal, in particular for information visualization, is to make data visual in a way that a spectator can easily understand the graphical encoding to finally derive insights from the data. As we see, there are various different ways to visually depict data by using visual features in various combinations. In this paper we come up with some thoughts about existing diagram styles, for which we first discuss the benefits and drawbacks of each of them focusing on aesthetics based on readability. Additionally, we describe some initial results on the aesthetics of diagrams which we recorded in a web-based experiment. In this, we asked participants to vote for one of two given diagrams of a given repertoire of 70 of them covering all examined aspects which focuses more on aesthetics in the sense of beauty, not readability. The major result of this experiment unhides a trend towards colored, 3D, and radial diagrams which stands somewhat in contrast to readability user studies in information visualization oftentimes tending towards 2D and Cartesian diagrams for data exploration.
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图的美学
图表表示无处不在,并在各种应用程序领域中使用。他们的主要目标之一,特别是信息可视化,是以一种观众可以容易地理解图形编码的方式使数据可视化,从而最终从数据中获得见解。正如我们所看到的,通过使用不同组合的视觉特征,有各种不同的方式来可视化地描绘数据。在本文中,我们提出了一些关于现有图表样式的想法,为此我们首先讨论了每种样式的优点和缺点,重点关注基于可读性的美学。此外,我们还描述了我们在一个基于网络的实验中记录的一些关于图表美学的初步结果。在这个过程中,我们要求参与者从两个给定的图表中选出一个,其中70个图表涵盖了所有被检查的方面,这些方面更多地关注美感,而不是可读性。这个实验的主要结果隐藏了一种倾向于彩色、3D和径向图的趋势,这在某种程度上与信息可视化中的可读性用户研究相反,这些研究通常倾向于2D和笛卡尔图来进行数据探索。
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