Building a Distributed XR Immersive Environment for data Visualization

F. Beltrán, Jing Geng
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Abstract

We present a novel way to support business organizations’ decision-making in the context of analysis of network data sets. For such a purpose we built a mixed-reality, multi-user platform, which we named Aroaro and can be deployed on different virtual reality and augmented reality devices. In Aroaro, users can experience data visualization, either individually or as part of a team. With a set of lab tasks designed to lead lab subjects to analyze the network information while immersing into the rich virtual environment, our approach belongs to the nascent area of immersive analytics. We assume a business unit has already procured some network data set and been tasked with problems that need to reveal information about the network's connectivity properties. This paper is concerned with how a business unit achieves problem solving (decisionmaking) when relying on immersive analytics. Our approach combines a high-quality virtual environment such as Aroaro, its data visualization engine and the analytics afforded by concepts of network centrality in a network. We report on preliminary results of having lab subjects experience two visualization environments: a 3D visualization system on a 2D-flat screen and our mixed-reality, multi-user platform for network data visualization.
为数据可视化构建分布式XR沉浸式环境
我们提出了一种在网络数据集分析的背景下支持商业组织决策的新方法。为此,我们建立了一个混合现实的多用户平台,我们将其命名为Aroaro,可以部署在不同的虚拟现实和增强现实设备上。在Aroaro中,用户可以单独或作为团队的一部分体验数据可视化。我们的方法属于沉浸式分析的新兴领域,通过一系列旨在引导实验对象在沉浸于丰富的虚拟环境中分析网络信息的实验任务。我们假设业务单位已经获取了一些网络数据集,并被指派处理需要揭示有关网络连接属性的信息的问题。本文关注的是一个业务单位在依赖沉浸式分析时如何实现问题解决(决策制定)。我们的方法结合了一个高质量的虚拟环境,如Aroaro,它的数据可视化引擎和网络中网络中心概念所提供的分析。我们报告了让实验对象体验两种可视化环境的初步结果:2d平面屏幕上的3D可视化系统和我们的混合现实,多用户网络数据可视化平台。
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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