Building Multiple Coordinated Spaces for Effective Immersive Analytics through Distributed Cognition

Tahir Mahmood, Erik Butler, Nicholas Davis, Jian Huang, Aidong Lu
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引用次数: 28

Abstract

Multiple Coordinated Views (MCV) has been widely used in visualization. This work explores Multiple Coordinated Spaces (MCS), a 3D version of MCV, in order to integrate various 2D displays in a large physical environment as a unified analysis workspace. Built upon the rich background of distributed and embodied cognition, MCS supports interactive analysis in a connected, distributed set of subspaces. For MCS, we have developed visualization and interactive techniques for coordinating augmented reality devices together with classical WIMP GUIs systems. We also demonstrate the usages of MCS using a multivariate, geo-spatial biodiversity application. The major advantage of MCS is a flexible coordination framework for creating new immersive analytics methods by mixing visualizations from different devices, and mixing physical and virtual operations from different environments.
通过分布式认知为有效的沉浸式分析构建多个协调空间
多协调视图(MCV)在可视化中得到了广泛的应用。本作品探索了多重协调空间(Multiple Coordinated Spaces, MCS),即MCV的3D版本,以便在大型物理环境中集成各种2D显示作为统一的分析工作空间。MCS建立在分布式和具身认知的丰富背景之上,支持在一个连接的、分布式的子空间集合中进行交互分析。对于MCS,我们开发了用于协调增强现实设备与经典WIMP gui系统的可视化和交互技术。我们还通过多元地理空间生物多样性应用演示了MCS的用法。MCS的主要优势是一个灵活的协调框架,可以通过混合来自不同设备的可视化,以及混合来自不同环境的物理和虚拟操作来创建新的沉浸式分析方法。
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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