Leveraging the European XR industry technologies to empower immersive learning and training

Informations projet

XR2Learn

N° de convention de subvention: 101092851

DOI

10.3030/101092851

Date de signature de la CE 17 Novembre 2022

Date de début 1 Janvier 2023

Date de fin 30 Juin 2026

Financé au titre de

• Digital, Industry and Space

Coût total

€ 7 660 125,00

Contribution de l’UE

€ 6 998 568,50

Coordonné par

CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI
Italy

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (6)

XR2Learn Marketplace, IPR tools and platform

This is the software code of the marketplace (including the on-demand part) and the IPR tools accompanied by the relevant specifications and use guidance. The deliverable is updated on month 30.

XR2Learn Marketplace, IPR tools and platform (v2)

This is the updated version of the software code of the marketplace (including the on-demand part) and the IPR tools accompanied by the relevant specifications and use guidance.

XR2Learn enablers (v2)

This is the updated version of the software of the XR2Learn enablers which will be accompanied by documentation as an outcome of task 3.2.

XR2Learn technical support services (v1)

This is the outcome of tasks 3.3 and 3.4 reported in two different time points in the project lifetime. This is the first version.

XR2Learn beacon applications

This is the software of the beacon applications which is going to be demonstrated to external audiences (output of task 3.1).

XR2Learn enablers (v1)

This is the software of the XR2Learn enablers which will be accompanied by documentation as an outcome of task 3.2.

Documents, reports (9)

Ecosystem activities and business support services (v2)

This document updates D2.1 and reports the work carried out in tasks 2.1 and 2.2 up to month 16.

Open call documentation, reports and analytics

Output of task 4.1 and comprises the information needed for the applicants to submit such as the Guidelines for Applicants, application form, and documents templates, and the FAQs. The deliverable will be updated on month 22.

Dissemination, Exploitation, Communication Plan

This is the outcome of tasks 5.1 (developing the PDCER early on in the project) and 5.2 reported in three different time points in the project lifetime. The deliverable will be updated on months 18 and 30.

XR-application delivery programme

Output of task 4.2 reporting the statistics of the first open call (ensuring that the T4.1 guidelines are met) and the results from the relevant evaluations and reviews.

Dissemination, Exploitation, Communication Plan (v3)

The deliverable updates D5.2 with the outcome of tasks 5.1 (developing the PDCER early on in the project) and 5.2 reported in three different time points in the project lifetime from M18 up to M30.

Ecosystem activities and business support services

This document reports the work carried out in tasks 2.1 and 2.2. Updated on months 16 and 42.

Data Management Plan

The data management plan of the project. Any updates will be included in the Periodic Project Reports (PPRs).

Open call documentation, reports and analytics (v2)

This document updates D4.1 with the of output of task 4.1 up to M22. It comprises the information needed for the applicants to submit such as the Guidelines for Applicants, application form, and documents templates, and the FAQs.

Dissemination, Exploitation, Communication Plan (v2)

The deliverable updates D5.1 with the outcome of tasks 5.1 (developing the PDCER early on in the project) and 5.2 reported in three different time points in the project lifetime from M6 up to M18.

Publications

Conference proceedings (6)

Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations

Auteurs: Bulat Khaertdinov, Pedro Jeruis, Annanda Sousa, Enrique Hortal
Publié dans: Interspeech 2024, 2024, ISSN 2958-1796
Éditeur: ISCA
DOI: 10.21437/INTERSPEECH.2024-860

XR4HRC Project: Training and Evaluation Approaches for Human-Robot Collaboration with Extended Reality

Auteurs: Yunus Emre Esen, Uğur Yayan, Kübra Yayan, Berk Kaan Çetincan
Publié dans: ICETOL 2024 conference proceedings, 2024
Éditeur: ICETOL

Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities

Auteurs: Mousavi, S. M. H., Khaertdinov, B., Jeuris, P., Hortal, E., Andreoletti, D., Giordano, S.
Publié dans: Proceedings of the Workshop on Advances of Mobile and Wearable Biometrics (WAMWB 2023) co-located with ACM International Conference on Mobile Human-Computer Interaction 2023 (MobileHCI 2023), Numéro 3517, 2023, ISSN 1613-0073
Éditeur: CEUR Workshop Proceedings

The V-Lab VR Educational Application Framework: A Beacon Application of the XR2Learn Project

Auteurs: Vasilis Zafeiropoulos, George Anastassakis, Theofanis Orphanoudakis, Dimitris Kalles, Anastasios Fanariotis, and Vassilis Fotopoulos
Publié dans: MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, Numéro 2023, 2023, ISBN 978-1-4503-9924-1
Éditeur: ACM
DOI: 10.1145/3565066.3608246

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

Auteurs: Seyed Muhammad Hossein Mousavi, Matteo Besenzoni, Davide Andreoletti, Achille Peternier, Silvia Giordano
Publié dans: MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, Numéro 2023, 2023, ISBN 978-1-4503-9924-1
Éditeur: ACM
DOI: 10.1145/3565066.3608247

INTERACT: An authoring tool that facilitates the creation of human centric interaction with 3d objects in virtual reality

Auteurs: Rama Krishnan Gopal Ramasamy Thandapani, Benjamin Capel, Antoine Lasnier, and Ioannis Chatzigiannakis
Publié dans: MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, Numéro 2023, 2023, ISBN 978-1-4503-9924-1
Éditeur: ACM
DOI: 10.1145/3565066.3608250

Other (5)

A New Dimension of Learning: Exploring the Impact of XR4HRC on Training Efficacy

Auteurs: Kübra Yayan, Yunus Emre Esen, Uğur Yayan
Publié dans: ERCIM News, Numéro 137, 2024, ISSN 0926-4981
Éditeur: ERCIM

Extended Reality - Introduction to the Special Theme

Auteurs: Ioannis Chatzigiannakis, Holger Graf, Manos Kamarianakis, and Aris Lalos
Publié dans: ERCIM News, Numéro 137, 2024, ISSN 0926-4981
Éditeur: ERCIM

Proximity Machinery through Distributed Augmented Reality: Design for Training the Resilient Operator 5.0

Auteurs: Alessandro Pollini, Tania Sabatini, Sara Traversari
Publié dans: ERCIM News, Numéro 137, 2024, ISSN 0926-4981
Éditeur: ERCIM

The XR2Learn Project Approach to Empowering Immersive Learning and Training Leveraging European XR Industry Technologies

Auteurs: Ioannis Chatzigiannakis, Silvia Giordano, Theofanis Orphanoudakis
Publié dans: ERCIM News, Numéro 137, 2024, ISSN 0926-4981
Éditeur: ERCIM

Personalised, Context-Aware XR Training Applications Driven by Large Language Models

Auteurs: George Fatouros, John Soldatos
Publié dans: ERCIM News, Numéro 137, 2024, ISSN 0926-4981
Éditeur: ERCIM

Peer reviewed articles (2)

Smart Detection System of Safety Hazards in Industry 5.0

Auteurs: Stavroula Bourou, Apostolos Maniatis, Dimitris Kontopoulos, Panagiotis A Karkazis
Publié dans: Telecom, Numéro 5(1), 2023, ISSN 2673-4001
Éditeur: MDPI
DOI: 10.3390/telecom5010001

XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance

Auteurs: Yunus Emre Esen, Berk Kaan Çetincan, Kübra Yayan, Hüseyin Güray Gürlek, Uğur Yayan
Publié dans: IEEE Access, Numéro 13, 2025, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3556699