RagRug: A Toolkit for Situated Analytics
Philipp Fleck, Aimee Sousa Calepso, Sebastian Hubenschmid,Michael Sedlmair, Dieter Schmalstieg
View presentation:2022-10-19T19:12:00ZGMT-0600Change your timezone on the schedule page
2022-10-19T19:12:00Z
Prerecorded Talk
The live footage of the talk, including the Q&A, can be viewed on the session page, Immersive Analytics and Situated Visualization.
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Keywords
Augmented Reality, Visualization, Visual Analytics, Immersive Analytics, Situated Analytics
Abstract
We present RagRug, an open-source toolkit for situated analytics. The , abilities of RagRug go beyond previous immersiveanalytics toolkits by , focusing on specific requirements emerging when using augmented , reality (AR) rather than virtual reality. RagRugcombines state of the , art visual encoding capabilities with a comprehensive physical-virtual , model, which lets application developerssystematically describe the , physical objects in the real world and their role in AR. We connect AR , visualizations with data streams fromthe Internet of Things using , distributed dataflow. To this end, we use reactive programming , patterns so that visualizations becomecontext-aware, i.e., they adapt , to events coming in from the environment. The resulting authoring , system is low-code; it emphasisesdescribing the physical and the , virtual world and the dataflow between the elements contained therein. , We describe the technicaldesign and implementation of RagRug, and , report on five example applications illustrating the toolkit’s , abilities.