Project description
Digital assistant for workplace optimisation
AI technologies have garnered significantly more attention and use in recent years. Innovative technologies are regularly introduced, highlighting numerous benefits, including enhanced automation, efficiency and quality. However, there is a notable gap in research and examination regarding the cooperation and collaboration between AI-based tools and human workers. This gap has raised concerns about potential future changes in the workplace. In this context, the EU-funded CODA project will develop an innovative system designed to enhance collaboration and efficiency within hybrid human–machine teams. This system will leverage state-of-the-art prediction models, neurophysiological assessments of operators and AI-based adaptability systems. Its primary goal is to optimise the allocation and timing of tasks and workloads, ultimately enhancing workplace efficiency.
Objective
COntroller adaptive Digital Assistant
The CODA project involves developing a system in which hybrid human-machine teams collaboratively perform tasks. To do so, the system put together state of art from different fields: i) Prediction models to foresee future situations and have the system know which activities will be carried out by the operators and their impact on the same human performance; ii) Neurophysiological assessment of mental states to enable the system to know operators real current level of workload, attention, stress, fatigue, and vigilance by validating the predicted cognitive models and maximising the effectiveness of the interaction between the human and the machine by developing an HMPE (Human Machine Performance Envelope); iii) AI-based adaptable and explainable systems, to have the system act to prevent future performance or safety issues.
Specifically, the project will show how a system could adapt to specific situations and react accordingly by using advanced adaptable and adaptive automation principles that will dynamically guide the allocation of tasks. The system will assess the operator's cognitive status, use current traffic data to foresee the future tasks that the operator will need to perform in the future, and calculate the impact of those tasks in terms of cognitive complexity. With this information, the system will predict the future mental state of the operator and will act accordingly by developing an adaptive automation strategy. For example, imagine an ATCO managing a complex traffic situation and experiencing a medium workload. The system is aware of this (thanks to the neurophysiological assessment). It predicts that the additional upcoming tasks the ATCO will need to take care of will increase their workload, exceeding the maximum an operator can handle. To avoid this, the system decides how to act, following an adaptation strategy: it may, for instance, increment the level of automation, enable additional AI-based tools, or request a sector splitting.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.5 - Climate, Energy and Mobility
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-SESAR-2022-DES-ER-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
00185 ROMA
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.