Towards a child-robot symbiotic co-development: a theoretical approach

Vasiliki Charisi, Daniel Patrick Davison, Frances Martine Wijnen, Jan van der Meij, Dennis Reidsma, Tony Prescott, Wouter van Joolingen, Vanessa Evers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

14 Citations (Scopus)
105 Downloads (Pure)


One of the main characteristics for an effective learning is the possibility for learners to choose their own ways and pace of learning, according to their personal previous experiences and needs. Social interaction during the learning process has a crucial role to the skills that learners may develop. In this paper, we present a theoretical approach, which considers relevant theories of child’s development in order to proceed from a child-child collaborative learning approach to a child- robot symbiotic co-development. In this symbiotic interaction, the robot is able to interact with the learner and adapt its behaviours according to the child’s behaviour and development. This sets some theoretical foundations for an on-going research project that develops technologies for a social robot that facilitates learning through symbiotic interaction.
Original languageUndefined
Title of host publicationProceedings of the Fourth International Symposium on "New Frontiers in Human-Robot Interaction"
EditorsM. Salem, A. Weiss, P. Baxter, K. Dautenhahn
PublisherThe Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB)
Number of pages7
ISBN (Print)9781510803862
Publication statusPublished - Apr 2015
EventFourth International Symposium on "New Frontiers in Human-Robot Interaction" - Canterbury, UK
Duration: 21 Apr 201522 Apr 2015

Publication series

PublisherSociety for the Study of Artificial Intelligence & Simulation of Behaviour


ConferenceFourth International Symposium on "New Frontiers in Human-Robot Interaction"
Other21-22 April 2015


  • EWI-26626
  • EC Grant Agreement nr.: FP7/611971
  • IR-98887
  • METIS-315121
  • EC Grant Agreement nr.: FP7-ICT-2013-10

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