XR2Learn Results

Enablers

General Enablers

The XR2Learn platform offers a central hub for XR technology. It provides tools and services for accessing and managing XR content through a content catalogue, enabling transactions via a dedicated marketplace, fostering collaboration through a community forum, and supporting the design of structured learning experiences with the Learning Path.

INTERACT authoring tool

INTERACT is a Unity-based toolbox that makes it easy for anyone to create advanced VR applications directly from CAD models or point clouds. Powered by a high-precision physics engine, it enables realistic simulations of complex mechanical systems

Publications

‘INTERACT: An authoring tool that facilitates the creation of human-centric interaction with 3D objects in virtual reality’

25th International Conference on Mobile Human-Computer Interaction: Proceedings, Athens, Greece, 26-29 September, ACM, pp. 1-5. Thandapani, R. K. G. R. and Capel, B. and Lasnier, A. and Chatzigiannakis, I. (2023)

Magic XRoom

The Magic XRoom is a Virtual Reality (VR) application developed to elicit specific emotions and gather data from external sensors through a set of scenarios. The application allows the user to experience four different scenarios composed of increasingly difficult tasks that require various skills to complete within a time limit.

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Publications

‘The Magic XRoom: A Flexible VR Platform for Controlled Emotion Elicitation and Recognition‘

25th International Conference on Mobile Human-Computer Interaction: Proceedings, Athens, Greece, 26-29 September, ACM, pp. 1-5. Mousavi, S. M. H., Besenzoni, M., Andreoletti, D., Peternier, A., Giordano, S. (2023)

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Training tools

Modular tools for preprocessing, feature extraction, self-supervised and supervised learning for multimodal emotion recognition models.

Inferences tools

Tools for unimodal and multimodal emotion classification and fusion, enabling real-time inference in XR systems.

Personalization tools

Tool that uses predicted emotions and contextual data to generate real-time personalized recommendations in XR learning environments.

Publications

‘Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities’

CEUR Workshop: Proceedings, Vol. 3517. Rheinisch-Westfaelische Technische Hochschule Aachen* Lehrstuhl Informatik V Mousavi, S. M. H., Khaertdinov, B., Jeuris, P., Hortal, E., Andreoletti, D., & 
Giordano, S. (2023)

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