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arXiv 2002.05305cs.HCcs.MM
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增强现实中交互式多用户三维可视化分析

Interactive Multi-User 3D Visual Analytics in Augmented Reality

Wanze Xie, Yining Liang, Janet Johnson, Andrea Mower, Samuel Burns, Colleen Chelini, Paul D Alessandro, Nadir Weibel, Jürgen P. Schulze

摘要:

本出版物报告了一个研究项目,在该项目中,我们着手探索增强现实(AR)技术对视觉数据分析的优势和劣势。我们开发了一个AR数据分析应用程序的原型,它为用户提供了一个交互式3D界面,基于手势的控制和多用户支持的共享体验,使多个人能够协同可视化,分析和操纵数据与3D空间中的高维特征。我们的软件原型名为DataCube,运行在Microsoft HoloLens上-这是第一款真正的独立AR耳机之一,通过它,用户可以看到计算机生成的图像覆盖在用户物理环境中的真实物体上。使用手势,用户可以选择菜单选项,通过各种过滤和可视化功能控制3D数据可视化,并在其环境中自由安排各种菜单和虚拟显示。共享的多用户体验允许所有参与的用户看到虚拟环境并与虚拟环境交互,一个用户做出的改变将立即对其他用户可见。当用户一起参与时,他们不受限制地同时观察物理世界,因此他们也可以看到非语言线索,例如物理环境中其他用户的手势或面部反应。该研究项目的主要目标是找出AR接口和协作分析是否可以为数据分析任务提供有效的解决方案,我们的原型系统的经验证实了这一点。

英文摘要:

This publication reports on a research project in which we set out to explore the advantages and disadvantages augmented reality (AR) technology has for visual data analytics. We developed a prototype of an AR data analytics application, which provides users with an interactive 3D interface, hand gesture-based controls and multi-user support for a shared experience, enabling multiple people to collaboratively visualize, analyze and manipulate data with high dimensional features in 3D space. Our software prototype, called DataCube, runs on the Microsoft HoloLens - one of the first true stand-alone AR headsets, through which users can see computer-generated images overlaid onto real-world objects in the user's physical environment. Using hand gestures, the users can select menu options, control the 3D data visualization with various filtering and visualization functions, and freely arrange the various menus and virtual displays in their environment. The shared multi-user experience allows all participating users to see and interact with the virtual environment, changes one user makes will become visible to the other users instantly. As users engage together they are not restricted from observing the physical world simultaneously and therefore they can also see non-verbal cues such as gesturing or facial reactions of other users in the physical environment. The main objective of this research project was to find out if AR interfaces and collaborative analysis can provide an effective solution for data analysis tasks, and our experience with our prototype system confirms this.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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