极简主义还是创造性混乱?沉浸式三维知识空间中大量散点图的排列与分析

Melanie Derksen;Torsten Kuhlen;Mario Botsch;Tim Weissker
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引用次数: 0

摘要

对于数据分析师来说,处理散点图是一项经典的日常任务,随着需要更多的散点图来形成对底层数据的理解,这项任务变得越来越复杂。为了帮助分析人员在需要时更快地检索相关图,沉浸式虚拟环境(iVEs)为他们提供了在周围的3D空间中自由排列散点图的选择。在本文中,我们研究了不同的虚拟环境对用户从更大的集合中快速找到和检索单个散点图的能力的影响。我们测试了三种不同的场景,所有这些场景都有一个共同点,即用户可以根据自己的需要在空间中自由地定位情节,但每个场景都为他们提供不同数量的地标作为视觉线索:一个空旷的场景作为基线条件,一个具有突出视觉线索的单一地标条件是桌子,多个地标条件是虚拟办公室。一项涉及45名参与者的跨主题调查结果表明,用户在虚拟空间中安排情节的时间和精力比虚拟空间本身的设计对记忆性能的影响更大。我们报告了参与者用于有效解决任务的个体排列策略,并强调了主动排列阶段对支持分散图空间记忆的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimalism or Creative Chaos? On the Arrangement and Analysis of Numerous Scatterplots in Immersive 3D Knowledge Spaces
Working with scatterplots is a classic everyday task for data analysts, which gets increasingly complex the more plots are required to form an understanding of the underlying data. To help analysts retrieve relevant plots more quickly when they are needed, immersive virtual environments (iVEs) provide them with the option to freely arrange scatterplots in the 3D space around them. In this paper, we investigate the impact of different virtual environments on the users' ability to quickly find and retrieve individual scatterplots from a larger collection. We tested three different scenarios, all having in common that users were able to position the plots freely in space according to their own needs, but each providing them with varying numbers of landmarks serving as visual cues: an Empty scene as a baseline condition, a single landmark condition with one prominent visual cue being a Desk, and a multiple landmarks condition being a virtual Office. Results from a between-subject investigation with 45 participants indicate that the time and effort users invest in arranging their plots within an iVE had a greater impact on memory performance than the design of the iVE itself. We report on the individual arrangement strategies that participants used to solve the task effectively and underline the importance of an active arrangement phase for supporting the spatial memorization of scatterplots in iVEs.
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