一种新的氨基酸图:彩虹盒与维恩/欧拉图的比较研究

J. Lamy
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引用次数: 5

摘要

欧拉图通常用于可视化小数据集,特别是在生物学中。一个众所周知的例子是氨基酸性质图。然而,对于学生来说,欧拉图并不总是容易阅读的,当集合的数量大于6时,欧拉图的制作就很复杂了。集合可视化还存在其他方法,例如彩虹盒,但它们尚未得到适当的评估。在本文中,我们提出了一种新的氨基酸图,使用彩虹盒。我们提出了一项跨用户研究,将新图与通常的欧拉图(经常被误称为“维恩图”)进行比较。招募了78名生物学学生;他们用图表回答问题。我们发现,彩虹框导致了一半的错误率(p值= 0.013),并且在响应时间和用户偏好方面也表现得更好。我们还探索了在通常呈现的8种性质之外,用其他信息丰富氨基酸图的可能性。我们将讨论每种技术的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Diagram for Amino Acids: User Study Comparing Rainbow Boxes to Venn/Euler Diagram
Euler diagrams are commonly used for visualizing small datasets, especially in biology. A well-known example is the diagram of amino acid properties. However, Euler diagrams are not always easy to read for students, and they are complex to produce when the number of sets is above 6. Other approaches exist for set visualization, such as rainbow boxes, but they have not been evaluated properly yet. In this paper, we propose a new diagram for amino acids, using rainbow boxes. We present a crossover user study that compares the new diagram with the usual Euler diagram (often miscalled “Venn diagram”). 78 students in biology were recruited; they responded to questions using the diagrams. We show that rainbow boxes lead to half the error rate (p value = 0.013) and also performed significantly better in terms of response time and user preference. We also explore the possibility of enriching the amino acid diagram with additional information, beyond the 8 properties commonly presented. We discuss the limitations of each technique.
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