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


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 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


# participant  country  role  EC contrib. [€] 

 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

 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


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

mental    movements    kinematics    intentions    biological    cognition    conspecifics    first    inferences    ability    motor    body    stimuli       time    intention    interaction    neural    social    move    motion   

 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.'

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