Objective
From observing other people’s movements, humans make inferences that go far beyond the appearance of the observed stimuli: inferences about unobservable mental states such as goals and intentions. Although this ability is critical for successful social interaction, little is known about how – often fast and reliably – we are able to make such inferences.
I.MOVE.U intends to provide the first comprehensive account of how intentions are extracted from body motion during interaction with conspecifics. Covert mental states such as intentions become visible to the extent they contribute as dynamic factors to generate the kinematics of a given action. By combining advanced methods in psychophysics and neuroscience with kinematics and virtual reality technologies, this project will study i) to what extent observers are sensitive to intention information conveyed by body movements; ii) what mechanisms and neural processes mediate the ability to extract intention from body motion; iii) how, during on-line social interaction with another agent, agents use their own actions to predict the partner’s intention. These issues will be addressed at different levels of analysis (motor, cognitive, neural) in neurotypical participants and participants with autism spectrum disorders. For the first time, to investigate real-time social interaction, full-body tracking will be combined with online generation of biological motion stimuli to obtain visual biological motion stimuli directly dependent on the actual behavior of participants.
I.MOVE.U pioneers a new area of research at the intersection of motor cognition and social cognition, providing knowledge of direct scientific, clinical, and technological impact. The final outcome of the project will result in a new quantitative methodology to investigate the decoding of intention during interaction with conspecifics.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences neurobiology
- natural sciences computer and information sciences software software applications virtual reality
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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.
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.
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.
ERC-2012-StG_20111124
See other projects for this call
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.
Host institution
16163 Genova
Italy
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.