iARVis:基于移动增强现实的声明性信息可视化创作、探索和共享

Junjie Chen, Chenhui Li, Sicheng Song, Changbo Wang
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引用次数: 0

摘要

我们提出了iARVis,一个概念验证工具包,用于创建、体验和共享基于ar的移动信息可视化环境。在过去的几年里,AR已经成为超越物理媒介和桌面的信息和数据可视化的有前途的媒介,实现了交互性并消除了空间限制。然而,创建这样的环境仍然很困难,并且经常需要低级的编程专业知识和冗长的手工编码。我们提出了一种用于定义增强现实(AR)环境的声明性方法,包括信息如何自动定位、布局和交互,以提高构建基于AR的信息可视化环境的效率和灵活性。我们提供了基本的布局和可视化组件,如网格、富文本、图像和图表,用于开发复杂的可视化小部件,以及基于图像和对象跟踪的自动定位方法,用于开发AR环境。为了提高设计效率,我们还为新手和高级用户提供了热加载和几个创建级别等功能。我们还研究了基于增强现实的可视化环境如何通过互联网持续和共享,并提供存储、共享和恢复环境的方法,以提供连续和无缝的体验。为了演示可行性和可扩展性,我们使用各种用例以及性能评估和专家评审来评估iARVis。
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iARVis: Mobile AR Based Declarative Information Visualization Authoring, Exploring and Sharing
We present iARVis, a proof-of-concept toolkit for creating, experiencing, and sharing mobile AR-based information visualization environments. Over the past years, AR has emerged as a promising medium for information and data visualization beyond the physical media and the desktop, enabling interactivity and eliminating spatial limits. However, the creation of such environments remains difficult and frequently necessitates low-level programming expertise and lengthy hand encodings. We present a declarative approach for defining the augmented reality (AR) environment, including how information is automatically positioned, laid out, and interacted with, to improve the efficiency and flexibility of constructing AR-based information visualization environments. We provide fundamental layout and visual components such as the grid, rich text, images, and charts for the development of complex visualization widgets, as well as automatic targeting methods based on image and object tracking for the development of the AR environment. To increase design efficiency, we also provide features such as hot-reload and several creation levels for both novice and advanced users. We also investigate how the augmented reality-based visualization environment could persist and be shared through the internet and provide ways for storing, sharing, and restoring the environment to give a continuous and seamless experience. To demonstrate the viability and extensibility, we evaluate iARVis using a variety of use cases along with performance evaluation and expert reviews.
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