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Multiview Immersion in Hybrid Reality Environments

机译：混合现实环境中的多视图浸入

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摘要

In the domain of large-scale visualization instruments, Hybrid Reality Environments (HREs) are a recent innovation that combines the best-in-class capabilities of immersive environments, with the best-in-class capabilities of ultra-high-resolution display walls. HREs create a seamless 2D/3D environment that supports both information-rich analysis as well as virtual-reality simulation exploration at a resolution matching human visual acuity. Collaborative research groups in HREs tend to work on a variety of tasks during a research session (sometimes in parallel), and these tasks require 2D data views, 3D views, linking between them, and the ability to bring in (or hide) data quickly as needed. Addressing these needs requires a matching software infrastructure that fully leverages the technological affordances offered by these new instruments.;In this dissertation, I detail the requirements of such infrastructure and outline the model of an operating system for Hybrid Reality Environments. I present an implementation of core components of this model, called Omegalib. I show how this implementation has been successfully used to create HRE visualizations for research, education and outreach. One key feature of Omegalib is its ability to support multiple applications running simultaneously on an HRE. This is a significant improvement compared to classic immersive systems, which normally support a single application at a time. HREs (and large displays in general) are ideal systems to support co-located collaboration, and the ability to run and control multi-application workspaces is key to effective work in this setting. However, enabling multiple immersive applications on a large display presents several challenges. I discuss our solution to these challenges and present an extension of Omegalib that supports fully dynamic, multi-view, multi-user immersion. I evaluate this new system, which I call Multiview Immersion (MVI) in a formal user study: two-user groups are asked to compare 3D sonar scans using MVI, single-view immersion and multiple views without immersion (simulating a standard display wall). My objective is understanding the effect of MVI on analysis effectiveness, view usage and collaboration patterns compared to alternatives. MVI appears to reduce analysis error rates for this sample task and makes it more likely for both users to remain engaged with the analysis task.
机译：在大型可视化仪器领域，混合现实环境（HRE）是一项最新的创新，将沉浸式环境的同类最佳功能与超高分辨率显示墙的同类最佳功能结合在一起。 HRE创建无缝的2D / 3D环境，以匹配人类视敏度的分辨率支持信息丰富的分析以及虚拟现实仿真探索。 HRE中的协作研究小组倾向于在研究会议期间（有时是并行进行）执行各种任务，这些任务需要2D数据视图，3D视图，它们之间的链接以及快速引入（或隐藏）数据的能力如所须。为了满足这些需求，需要一个匹配的软件基础架构，以充分利用这些新工具提供的技术能力。在本文中，我详细介绍了此类基础架构的要求，并概述了用于混合现实环境的操作系统模型。我介绍了称为Omegalib的该模型的核心组件的实现。我将展示如何成功地使用此实现来创建用于研究，教育和推广的HRE可视化。 Omegalib的一项关键功能是它能够支持在HRE上同时运行的多个应用程序。与通常一次支持单个应用程序的经典沉浸式系统相比，这是一个重大改进。 HRE（通常是大型显示器）是支持同一地点协作的理想系统，而运行和控制多应用程序工作区的能力是在这种情况下有效工作的关键。但是，在大型显示器上启用多个沉浸式应用程序带来了一些挑战。我将讨论针对这些挑战的解决方案，并介绍Omegalib的扩展，该扩展支持全动态，多视图，多用户浸入。我评估了这个新系统，在正式的用户研究中将其称为多视图浸入（MVI）：要求两个用户组比较使用MVI，单视图浸入和不浸入的多个视图进行3D声纳扫描（模拟标准显示墙） 。我的目标是了解MVI与替代方案相比对分析有效性，视图使用和协作模式的影响。 MVI似乎降低了此示例任务的分析错误率，并使两个用户都更有可能继续参与分析任务。

著录项

  • 作者

    Febretti, Alessandro.;

  • 作者单位

    University of Illinois at Chicago.;

  • 授予单位 University of Illinois at Chicago.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 215 p.
  • 总页数 215
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 遥感技术;
  • 关键词

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