Project description
Making robots our teammates
The rise of digitalisation has been accompanied with a rise in human interaction with robots. The question now is: Is it possible for robots to become our communicative teammates? With the support of the Marie Skłodowska-Curie Actions, the NeuroMarkerHRI project will identify neural markers of the social brain activation in human-machine interaction to enable appropriate technologies for human-centred models based on social-cognitive mechanisms. NeuroMarkerHRI will measure hemodynamic signals in brain areas responsible for social cognition. It will use cognitive neuroscience, robotics and recent advances in machine learning to evaluate regulatory factors that activate the social brain exposed to humanoid robots for successful models for human-robot teaming for a smooth digital transition in Europe.
Objective
With the imminent introduction of artificial agents into our digital future, robots will become teammates, companions and counterparts. However, it remains unclear whether people would interact with humanoid robots as social partners or use them as mere tools. NeuroMarkerHRI seeks to identify neural markers of the activation of social cognitive mechanisms with robots based on hemodynamic responses using supervised ML models. This will determine whether the human brain interprets the behavior from a humanoid robot using social (e.g. mirror neuron system, theory of mind) or general domain cognitive mechanisms (e.g. attention, cognitive control). With a hypothesis-driven and stepwise approach, the project will measure hemodynamic responses with functional near-infrared spectroscopy (fNIRS) in brain regions associated with social cognition, theory of mind and perception of mental states during collaborative interactions with humanoid robots. Hemodynamic signal features will be included in the machine learning models to identify predictors of social or general domain cognitive mechanisms. The project's interdisciplinary nature integrates well-documented methods of cognitive neuroscience, advancements in robotics, and state-of-the-art machine learning techniques to thoroughly evaluate the factors that modulate the activation of the social brain exposed to humanoid robots. Outcomes will set standards for future research in human-robot interaction, offer a reliable tool for designers to measure the effect of robot behavior on the users, and boost the development and improvement of efficient human-robot collaboration. The current project contributes to creating a human-centered development of technology and would help towards the digital transition in Europe, allowing to unlock the potential of social, industrial, and commercial human-robot collaboration.
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.
- natural sciences biological sciences neurobiology
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
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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.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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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-MSCA-2021-PF-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.
10623 Berlin
Germany
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.