I.MOVE.U

Intention-from-MOVEment Understanding: from moving bodies to interacting minds

Coordinatore	FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Italy [IT]
Totale costo	999˙920 €
EC contributo	999˙920 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2012-StG_20111124
Funding Scheme	ERC-SG
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-09-01   -   2018-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITA DEGLI STUDI DI TORINO  Organization address address: Via Giuseppe Verdi 8 city: TORINO postcode: 10124 contact info Titolo: Dr. Nome: Claudia Cognome: Margini Email: send email Telefono: +39 011 6702993 Fax: +39 011 6702976	IT (TORINO)	beneficiary	408˙412.00
2	FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA  Organization address address: VIA MOREGO 30 city: GENOVA postcode: 16163 contact info Titolo: Prof. Nome: Cristina Cognome: Becchio Email: send email Telefono: +39 010 717 81 565 Fax: +39 7170 81 208	IT (GENOVA)	hostInstitution	591˙508.00

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 Obiettivo del progetto (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.'