Obiettivo 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. Campo scientifico natural sciencesbiological sciencesneurobiologynatural sciencescomputer and information sciencessoftwaresoftware applicationsvirtual reality Programma(i) 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) Argomento(i) ERC-SG-SH4 - ERC Starting Grant - The Human Mind and its complexity Invito a presentare proposte ERC-2012-StG_20111124 Vedi altri progetti per questo bando Meccanismo di finanziamento ERC-SG - ERC Starting Grant Istituzione ospitante FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA Contributo UE € 591 508,00 Indirizzo VIA MOREGO 30 16163 Genova Italia Mostra sulla mappa Regione Nord-Ovest Liguria Genova Tipo di attività Research Organisations Ricercatore principale Cristina Becchio (Prof.) Contatto amministrativo Cristina Becchio (Prof.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato Beneficiari (2) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA Italia Contributo UE € 591 508,00 Indirizzo VIA MOREGO 30 16163 Genova Mostra sulla mappa Regione Nord-Ovest Liguria Genova Tipo di attività Research Organisations Ricercatore principale Cristina Becchio (Prof.) Contatto amministrativo Cristina Becchio (Prof.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato UNIVERSITA DEGLI STUDI DI TORINO Italia Contributo UE € 408 412,00 Indirizzo VIA GIUSEPPE VERDI 8 10124 Torino Mostra sulla mappa Regione Nord-Ovest Piemonte Torino Tipo di attività Higher or Secondary Education Establishments Contatto amministrativo Claudia Margini (Dr.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato
