This video demonstrates a hybrid collaborative immersive analytics experience we are developing at the VRxAR Labs research group at Linnaeus University, Växjö, Sweden.
Our experience consists of an immersive virtual reality (VR) application, and a non-immersive web application, allowing for synchronous exploration of data through two users: one in VR, and one outside VR.
The immersive application is centered around a room-scale VR setting, using a head-mounted display as the user's visual interface, and 3D gestural input as the interaction interface to operate the application. The non-immersive application is an interactive 2D information visualization that runs in a web browser and can be operated through a normal desktop computer, notebook, and tablet or smartphone device.
For the the purpose of this video demonstration, we illustrate the language variability in Tweets within the Nordic countries from a sociolinguistics perspective. The visualized data were collected within the scope of the Nordic Tweet Stream (NTS), a dynamic corpus of Tweets, a cross-disciplinary project of computer scientists and sociolinguists at Linnaeus University .
Immersive application: HTC Vive, Leap Motion, Unity3D
Non-immersive application: D3.js
Network: WebSocket Secure, Node.js
Aris Alissandrakis, Nico Reski
[VRxAR Labs web]
 Laitinen, Mikko, Jonas Lundberg, Magnus Levin and Rafael Martins. 2018. The Nordic Tweet Stream: A Dynamic Real-Time Monitor Corpus of Big and Rich Language Data, Proc. of Digital Humanities in the Nordic Countries 3rd Conference, Helsinki, Finland, March 7–9, 2018, CEUR-WS.org.