EXtended Reality Modelling (RIA)

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资助机构

Horizon Europe Framework Programme (HORIZON)

European Commission

研究领域

Digital Agenda

Electrical and electronic engineering

Natural language processing

Computer graphics, computer vision, multi media, c

Augmented Reality

Human computer interaction

Virtual Reality

Social sciences and humanities

Artificial Intelligence

Computer sciences, information science and bioinfo

Cognitive science

截止日期

2024-08-01

基金规模

€424240

申请资格

General conditions

1. Admissibility conditions: described in Annex A and Annex E of the Horizon Europe Work Programme General Annexes.

Proposal page limits and layout: described in Part B of the Application Form available in the Submission System.

In this topic, proposals are expected to use financial support to third parties (FSTP). Therefore, they can add an additional annex with information on how they will use it. It should be uploaded in the 'Other Annexes' box. The content of this annex is described in the Part B of the Application Form. This annex does not count for the page limit.

2. Eligible countries: described in Annex B of the Work Programme General Annexes.

A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects. See the information in the Horizon Europe Programme Guide.

3. Other eligibility conditions: described in Annex B of the Work Programme General Annexes.

4. Financial and operational capacity and exclusion: described in Annex C of the Work Programme General Annexes.

5. Evaluation and award:

Award criteria, scoring and thresholds are described in Annex D of the Work Programme General Annexes.

Submission and evaluation processes are described in Annex F of the Work Programme General Annexes and the Online Manual.

Indicative timeline for evaluation and grant agreement: described in Annex F of the Work Programme General Annexes.

6. Legal and financial set-up of the grants: described in Annex G of the Work Programme General Annexes.

Beneficiaries may provide financial support to third parties.
The support to third parties can only be provided in the form of grants.
The maximum amount to be granted to each third party is EUR 300 000 to further extend the use-cases and the application domains, address sector specific constraints, ensure reproducibility and demonstrate their integration paths.

Specific conditions

7. Specific conditions: described in the specific topic of the Work Programme.

Documents

Call documents:

Standard application form (HE RIA, IA) — call-specific application form is available in the Submission System

Standard evaluation form (HE RIA, IA) — will be used with the necessary adaptations

HE General MGA v1.0 — MGA

Additional documents:

HE Main Work Programme 2021–2022 – 1. General Introduction

HE Main Work Programme 2021–2022 – 7. Digital, Industry and Space

HE Main Work Programme 2021–2022 – 13. General Annexes

HE Programme Guide

EU Financial Regulation

Rules for Legal Entity Validation, LEAR Appointment and Financial Capacity Assessment

EU Grants AGA — Annotated Model Grant Agreement

Funding & Tenders Portal Online Manual

Funding & Tenders Portal Terms and Conditions

Funding & Tenders Portal Privacy Statement

基金编号

HORIZON-CL4-2021-HUMAN-01-13

说明

ExpectedOutcome:

Proposals are expected to contribute to the following outcomes:

Large-scale creation of eXtended Reality models with increased levels of interaction, context awareness, explainable autonomous decisions, human control, privacy and accessibility.
Methodologies, tools and processes to build eXtended Reality services based on these models.
Improved human to human and human to computer eXtended Reality interaction, in both offline and real-time context.

Scope:

Recent advances in the field of Artificial Intelligence (AI) giving machines the ability to understand and derive meaning from human languages, have shown that automatic systems can exhibit human‑like performance. Machine translation, speech recognition or personal assistants are now part of our daily lives. Recent progress in AI has also enabled systems to generalise from one task to another, from one language to another, from one modality to another. Large pre-trained multilingual language models can handle different languages, even with little or no training data. The same models can cover completely different language-related tasks, such as text translation or summarisation, speech transcription, or sentiment analysis. Natural language Understanding and Natural Language Generation state-of-art techniques are expected to take advantage of the latest advances in research. Advances in user and environment modelling and progress in data analytics allow systems to be increasingly context-aware and efficiently support users in their decisions.

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.

Beyond supporting a large set of languages and modalities, the work will focus on enabling new forms of interactions, avoiding bias, whilst ensuring accessibility, privacy, transparency and explainability.

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.

To further extend the application domains, address sector specific constrains, ensure reproducibility and demonstrate their integration paths, proposals are expected to organise a number of competitive calls with financial support to third parties (FSTP) and further extend the use-cases. 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.

Specific Topic Conditions:

Activities are expected to start at TRL 2 and achieve TRL 5 by the end of the project – see General Annex B.

Cross-cutting Priorities:

Digital Agenda
Artificial Intelligence
Social sciences and humanities

基金资源
Purdue Grant Writing Lab: Introduction to Grant Writing	打开链接
University of Wisconsin Writing Center: Planning and Writing a Grant Proposal	打开链接