论文标题

增强现实中的交互式多用户3D视觉分析

Interactive Multi-User 3D Visual Analytics in Augmented Reality

论文作者

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

论文摘要

该出版物报告了一个研究项目,我们着手探索可观的现实(AR)技术对视觉数据分析的优势和缺点。我们开发了AR数据分析应用程序的原型,该应用程序为用户提供了交互式3D接口,基于手势的控件和多用户支持共享体验,使多个人能够在3D空间中具有高维功能的高维特征,协作可视化,分析和操纵数据。我们的软件原型(称为DataCube)在Microsoft Hololens上运行 - Microsoft Hololens是第一个真实的独立AR耳机之一,用户可以通过它看到计算机生成的图像在用户物理环境中叠加在现实世界中。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可以看到并与虚拟环境进行交互,一个用户所做的更改将立即对其他用户可见。当用户共同参与时,他们不受同时观察物理世界的限制,因此他们还可以看到物理环境中其他用户的手势或面部反应等非语言提示。该研究项目的主要目的是找出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,而我们在原型系统方面的经验证实了这一点。

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.

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