Il contributo metodologico della Developmental Robotics alla psicologia. How developmental robotics can give a methodological contribute to the psychology

CONTI, Daniela, DI NUOVO, Santo and CANGELOSI, Angelo (2018). Il contributo metodologico della Developmental Robotics alla psicologia. How developmental robotics can give a methodological contribute to the psychology. Ricerche di Psicologia, 41 (2), 221-239.

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Link to published version:: https://doi.org/10.3280/RIP2018-002002

Abstract

The latest developments in Artificial Intelligence and the parallel advances of Developmental Robotics can offer a valid methodological support to the research in psychology and to its applications. This interdisciplinary approach, built on the close collaboration of the disciplines of cognitive robotics and psychology, takes direct inspiration from the developmental principles and mechanisms observed in children, and proposes - through studies of simulation in the laboratory – new hypotheses which can be verified with real children. We will illustrate the utility of this approach by presenting a baby-robot case study of the role of the em- bodiment during early word learning, as well as an overview of several developmental robotics models of perceptual, social and language psychology. Some limitations and possible correctives of the applications of the Developmental Robotics to the psychological interventions will be underlined.

Item Type: Article
Additional Information: English language title - How developmental robotics can give a methodological contribute to the psychology. Article is in Italian.
Uncontrolled Keywords: Artificial Intelligence, Developmental Robotics, cognitive learning, psychological applications.
Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Sheaf Solutions
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Identification Number: https://doi.org/10.3280/RIP2018-002002
Page Range: 221-239
Depositing User: Daniela Conti
Date Deposited: 30 Jul 2018 13:18
Last Modified: 18 Mar 2021 07:23
URI: https://shura.shu.ac.uk/id/eprint/22142

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