Automatic imitation of the arm kinematic profile in interacting partners

Alice Chirico, Giuseppe Riva, Andrea Gaggioli, Pietro Cipresso, Alessandro D’Ausilio, Leonardo Badino, Elisabetta Ferrari

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

7 Citazioni (Scopus)

Abstract

Cognitive neuroscience, traditionally focused on individual brains, is just beginning to investigate social cognition through realistic interpersonal interaction. However, quantitative investigation of the dynamical sensorimotor communication among interacting individuals in goal-directed ecological tasks is particularly challenging. Here, we recorded upper-body motion capture of 23 dyads, alternating their leader/follower role, in a tower-building task. Either a strategy of joining efforts or a strategy of independent action could in principle be used. We found that arm reach velocity profiles of participants tended to converge across trials. Automatic imitation of low-level motor control parameters demonstrates that the task is achieved through continuous action coordination as opposed to independent action planning. Moreover, the leader produced more consistent and predictable velocity profiles, suggesting an implicit strategy of signaling to the follower. This study serves as a validation of our joint goal-directed non-verbal task for future applications. In fact, the quantification of human-to-human continuous sensorimotor interaction, in a way that can be predicted and controlled, is probably one of the greatest challenges for the future of human-robot interaction.
Lingua originaleEnglish
pagine (da-a)197-201
Numero di pagine5
RivistaCognitive Processing
Volume16
DOI
Stato di pubblicazionePubblicato - 2015

Keywords

  • automatic imitation
  • joint action
  • kinematic analysis
  • social neuroscience

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