XR2Learn Personalization Enablers demonstration. XR2Learn Personalization enablers are components to allow automatic personalization capability to XR applications.
In this demonstration, we showcase Magic XRoom running with the XR2Learn Personalization enablers in real-time settings. Magic XRoom is a Unity VR application to collects data from a user (github.com/XR2....
This data then is read and processed by Inference tools to identify the user’s emotions. The emotions, together with contextual information will be used by the Personalization tool to compute suggestions for personalizing the user’s learning experience.
The inference pre-processing keeps waiting for files. And as soon as the user presses the data collection button in the Magic XRoom, Magic XRoom starts to generate new data files, and inference preprocessing starts to read and process them. The processed data
is sent to the rest of the Inference Tools (Emotion Classification and Multimodal Fusion) that will identify the user's emotions.
When we press the start activity button, the Personalization Tool will start to listen to the user’s emotions, and when the stop activity button is pressed, the Personalization Tool will compute a suggestion based on the user’s emotions and contextual information.
XR2Learn Personalization enablers are delivered as open-source Github repositories:
github.com/XR2...
github.com/XR2...
github.com/XR2...
github.com/XR2...
github.com/XR2...