Find here the most recent press releases produced by XR2Learn, as well as the project’s logo, visuals, and leaflet.
Press releases
Project branding material (insert hyper-linked material)
For further media inquiries, please contact us at sofiya@f6s.com and vukasin@f6s.com
- Thandapani, R. K. G. R. and Capel, B. and Lasnier, A. and Chatzigiannakis, I. (2023) ‘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.
- Mousavi, S. M. H., Besenzoni, M., Andreoletti, D., Peternier, A., Giordano, S. (2023) ‘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.
- Zafeiropoulos, V., Anastassakis, G., Orphanoudakis, T., Kalles,D., Fanariotis, A., Fotopoulos, V. (2023) ‘The V-Lab VR Educational Application Framework: A Beacon Application of the XR2Learn Project’ 25th International Conference on Mobile Human-Computer Interaction: Proceedings, Athens, Greece, 26-29 September, ACM, pp. 1-4.
- Bourou, S., Maniatis, A., Kontopoulos, D., A Karkazis, P. (2023) ‘Smart Detection System of Safety Hazards in Industry 5.0‘, Telecom, 5(1), pp. 1-20, DOI: https://doi.org/10.3390/telecom5010001
- Mousavi, S. M. H., Khaertdinov, B., Jeuris, P., Hortal, E., Andreoletti, D., & Giordano, S. (2023) ‘Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities’ CEUR Workshop:Proceedings, Vol. 3517. Rheinisch-Westfaelische Technische Hochschule Aachen* Lehrstuhl Informatik V
- Chatzigiannakis, I., Giordano, S., Orphanoudakis T. (2024) ‘The XR2Learn Project Approach to Empowering Immersive Learning and Training Leveraging European XR Industry Technologies’, ERCIM News, 137 , pp. 36-37
- Fatouros, G. and Soldatos, J. (2024) ‘Personalised, Context-Aware XR Training Applications Driven by Large Language Models’, ERCIM News, 137 pp. 31-32
- Yayan, K., Esen, Y. E., Yayan, U. (2024) ‘A New Dimension of Learning: Exploring the Impact of XR4HRC on Training Efficacy’, ERCIM News, 137, pp 32-34
- Pollini, A., Sabatini, T. and Traversari, S. (2024) ‘Proximity Machinery through Distributed Augmented Reality: Design for Training the Resilient Operator 5.0’, ERCIM News, 137, pp 34-35
- Khaertdinov, B., Jeuris, P., Sousa, A. and Hortal, E. (2024) ‘Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations’, Interspeech 2024 Conference: Proceedings, Kos, Greece, 1-4 September, pp. 4708-4712., DOI: 10.21437/Interspeech.2024-860
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