research-article

RagRug: A Toolkit for Situated Analytics

Authors:

Aimée Sousa Calepso,

Sebastian Hubenschmid,

Michael Sedlmair,

Dieter SchmalstiegAuthors Info & Claims

IEEE Transactions on Visualization and Computer Graphics, Volume 29, Issue 7

Pages 3281 - 3297

https://doi.org/10.1109/TVCG.2022.3157058

Published: 01 July 2023 Publication History

Abstract

We present RagRug, an open-source toolkit for situated analytics. The abilities of RagRug go beyond previous immersive analytics toolkits by focusing on specific requirements emerging when using augmented reality (AR) rather than virtual reality. RagRug combines state of the art visual encoding capabilities with a comprehensive physical-virtual model, which lets application developers systematically describe the physical objects in the real world and their role in AR. We connect AR visualizations with data streams from the Internet of Things using distributed dataflow. To this end, we use reactive programming patterns so that visualizations become context-aware, i.e., they adapt to events coming in from the environment. The resulting authoring system is low-code; it emphasises describing the physical and the virtual world and the dataflow between the elements contained therein. We describe the technical design and implementation of RagRug, and report on five example applications illustrating the toolkit’s abilities.

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IEEE Transactions on Visualization and Computer Graphics Volume 29, Issue 7

July 2023

296 pages

ISSN:1077-2626

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1077-2626 © 2022 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.

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Published: 01 July 2023

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https://dl.acm.org/doi/10.1145/3613904.3642646
Zhu QLu TGuo SMa XYang Y(2024)CompositingVis: Exploring Interactions for Creating Composite Visualizations in Immersive EnvironmentsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345621031:1(591-601)Online publication date: 9-Sep-2024
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Boorboor SCastellana MKim YZhu-tian CBeyer JPfister HKaufman A(2024)VoxAR: Adaptive Visualization of Volume Rendered Objects in Optical See-Through Augmented RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.334077030:10(6801-6812)Online publication date: 1-Oct-2024
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Castelo SRulff JMcGowan ESteers BWu GChen SRoman ILopez RBrewer EZhao CQian JCho KHe HSun QVo HBello JKrone MSilva C(2024): Visualization of AI-Assisted Task Guidance in ARIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332739630:1(1313-1323)Online publication date: 1-Jan-2024
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Calepso AFleck PSchmalstieg DSedlmair M(2023)Exploring Augmented Reality for Situated Analytics with Many Movable Physical ReferentsProceedings of the 29th ACM Symposium on Virtual Reality Software and Technology10.1145/3611659.3615700(1-12)Online publication date: 9-Oct-2023
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