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

Informazioni relative al progetto

XR2Learn

ID dell’accordo di sovvenzione: 101092851

DOI

10.3030/101092851

Data della firma CE 17 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 30 Giugno 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 7 660 125,00

Contributo UE

€ 6 998 568,50

Coordinato da

CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI
Italy

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Conference proceedings (6)

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

Autori: Bulat Khaertdinov, Pedro Jeruis, Annanda Sousa, Enrique Hortal
Pubblicato in: Interspeech 2024, 2024, ISSN 2958-1796
Editore: ISCA
DOI: 10.21437/INTERSPEECH.2024-860

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

Autori: Yunus Emre Esen, Uğur Yayan, Kübra Yayan, Berk Kaan Çetincan
Pubblicato in: ICETOL 2024 conference proceedings, 2024
Editore: ICETOL

Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities

Autori: Mousavi, S. M. H., Khaertdinov, B., Jeuris, P., Hortal, E., Andreoletti, D., Giordano, S.
Pubblicato in: 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), Numero 3517, 2023, ISSN 1613-0073
Editore: CEUR Workshop Proceedings

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

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

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

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

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

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

Other (5)

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

Autori: Kübra Yayan, Yunus Emre Esen, Uğur Yayan
Pubblicato in: ERCIM News, Numero 137, 2024, ISSN 0926-4981
Editore: ERCIM

Extended Reality - Introduction to the Special Theme

Autori: Ioannis Chatzigiannakis, Holger Graf, Manos Kamarianakis, and Aris Lalos
Pubblicato in: ERCIM News, Numero 137, 2024, ISSN 0926-4981
Editore: ERCIM

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

Autori: Alessandro Pollini, Tania Sabatini, Sara Traversari
Pubblicato in: ERCIM News, Numero 137, 2024, ISSN 0926-4981
Editore: ERCIM

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

Autori: Ioannis Chatzigiannakis, Silvia Giordano, Theofanis Orphanoudakis
Pubblicato in: ERCIM News, Numero 137, 2024, ISSN 0926-4981
Editore: ERCIM

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

Autori: George Fatouros, John Soldatos
Pubblicato in: ERCIM News, Numero 137, 2024, ISSN 0926-4981
Editore: ERCIM

Peer reviewed articles (2)

Smart Detection System of Safety Hazards in Industry 5.0

Autori: Stavroula Bourou, Apostolos Maniatis, Dimitris Kontopoulos, Panagiotis A Karkazis
Pubblicato in: Telecom, Numero 5(1), 2023, ISSN 2673-4001
Editore: MDPI
DOI: 10.3390/telecom5010001

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

Autori: Yunus Emre Esen, Berk Kaan Çetincan, Kübra Yayan, Hüseyin Güray Gürlek, Uğur Yayan
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3556699