GSS EU Science Funding Gateway

Drawing on the above-mentioned recent advances, the proposals will:

• Develop pre‑trained eXtended Reality models capable of adapting to a large variety of forms of expression, interaction, languages, domains, styles and intent. Taking into account surrounding real or virtual environments, contexts, preferences and abilities of the user, the models will contribute to the general understanding of the environments and users’ knowledge, preferences, believes, abilities, intent and goals.
• Demonstrate the adaptation and generalisation of the eXtended Reality models, including through the integration of structured knowledge, by developing solutions capable of carrying genuine human-like interaction before, during and after an eXtended Reality experience.
• Integrate the solutions into several eXtended Reality use‑cases scenarios, such as media, collaborative telepresence, learning, personal assistants or information retrieval.

To compensate the increase of model complexity, the proposed solutions should be energy efficient thanks to optimised protocols and algorithms with equivalent performance during both training and implementation. The proposal will ensure reproducibility and repeatability of the research results, promote an open data and interfaces standardisation, avoiding narrow de-facto standards and demonstrate clear and efficient integration paths for the European industry take up. At least 20% of the funding should be dedicated to FSTP. To that aspect, the consortium will provide guidelines and technical support in engineering integration, testing and validation to support the development of such use-cases.