Investigating treemap visualization in inverted scale

Vagner Figueredo de Santana, Fabiano Marcon de Moraes, Beatriz Sonzzini Ribeiro de Souza
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引用次数: 2

Abstract

Identifying maximum/minimum values in different charts is a common goal when users are interacting with visualizations. Moreover, this can be a challenging task when the user is interacting with space-filling visualizations. Space-filling methods consider a 2D area to represent values, however, low values that might be interesting for decision makers are commonly obfuscated by such approach. In this context, we conducted an eye tracking study with 12 target users to analyze how scale inversion (area proportional to 1/value) can support the identification of elements with small values represented in treemaps. Results show that when the inverted scale supports the task, users are able to identify elements individually and in a less ambiguous way, but took more time to interpret the inverted scale treemap. With the presented results, we expect that Human-Computer Interaction practitioners working on space-filling visualizations to include interactive scales to invert the visualizations scale when the task at hand involves evaluating minimum and/or maximum values.
研究倒排比例尺的树图可视化
当用户与可视化交互时,确定不同图表中的最大值/最小值是一个共同的目标。此外,当用户与填充空间的可视化交互时,这可能是一项具有挑战性的任务。空间填充方法考虑一个2D区域来表示值,然而,这种方法通常会混淆决策者可能感兴趣的低值。在此背景下,我们对12个目标用户进行了眼动追踪研究,以分析比例尺反演(面积与1/值成比例)如何支持识别树图中表示的小值元素。结果表明,当倒立比例尺支持任务时,用户能够以较少的模糊方式单独识别元素,但需要更多的时间来解释倒立比例尺树图。根据所呈现的结果,我们期望从事空间填充可视化的人机交互从业者在手头的任务涉及评估最小值和/或最大值时,包括交互式尺度来反转可视化尺度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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