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Human-robot interaction in concept acquisition: a computational model

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Organization
Abstract
This paper presents a discussion and simulation results which support the case for interaction during the acquisition of conceptual knowledge. Taking a developmental perspective, we first review a number of relevant insights on word-meaning acquisition in young children and specifically focus on concept learning supported by linguistic input. We present a computational model implementing a number of acquisition strategies, which enable a learning agent to actively steer the learning process. This is contrasted to a one way learning method, where the learner does not actively influence the learning experience. We present results demonstrating how dyadic interaction between a teacher and learner may result in a better acquisition of concepts.
Keywords
LANGUAGE, COLOR, INFANCY, LABELS, RIGHT VISUAL-FIELD, CATEGORIES, concept acquisition, human-robot interaction, language games, learning interaction

Citation

Please use this url to cite or link to this publication:

MLA
de Greeff, J, F Delaunay, and Tony Belpaeme. “Human-robot Interaction in Concept Acquisition: a Computational Model.” 2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING. NEW YORK: IEEE, 2009. 168–173. Print.
APA
de Greeff, J., Delaunay, F., & Belpaeme, T. (2009). Human-robot interaction in concept acquisition: a computational model. 2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING (pp. 168–173). Presented at the 8th IEEE International Conference on Development and Learning, NEW YORK: IEEE.
Chicago author-date
de Greeff, J, F Delaunay, and Tony Belpaeme. 2009. “Human-robot Interaction in Concept Acquisition: a Computational Model.” In 2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING, 168–173. NEW YORK: IEEE.
Chicago author-date (all authors)
de Greeff, J, F Delaunay, and Tony Belpaeme. 2009. “Human-robot Interaction in Concept Acquisition: a Computational Model.” In 2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING, 168–173. NEW YORK: IEEE.
Vancouver
1.
de Greeff J, Delaunay F, Belpaeme T. Human-robot interaction in concept acquisition: a computational model. 2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING. NEW YORK: IEEE; 2009. p. 168–73.
IEEE
[1]
J. de Greeff, F. Delaunay, and T. Belpaeme, “Human-robot interaction in concept acquisition: a computational model,” in 2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING, Shanghai, PEOPLES R CHINA, 2009, pp. 168–173.
@inproceedings{8197812,
  abstract     = {{This paper presents a discussion and simulation results which support the case for interaction during the acquisition of conceptual knowledge. Taking a developmental perspective, we first review a number of relevant insights on word-meaning acquisition in young children and specifically focus on concept learning supported by linguistic input. We present a computational model implementing a number of acquisition strategies, which enable a learning agent to actively steer the learning process. This is contrasted to a one way learning method, where the learner does not actively influence the learning experience. We present results demonstrating how dyadic interaction between a teacher and learner may result in a better acquisition of concepts.}},
  author       = {{de Greeff, J and Delaunay, F and Belpaeme, Tony}},
  booktitle    = {{2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING}},
  isbn         = {{978-1-4244-4117-4}},
  keywords     = {{LANGUAGE,COLOR,INFANCY,LABELS,RIGHT VISUAL-FIELD,CATEGORIES,concept acquisition,human-robot interaction,language games,learning interaction}},
  language     = {{eng}},
  location     = {{Shanghai, PEOPLES R CHINA}},
  pages        = {{168--173}},
  publisher    = {{IEEE}},
  title        = {{Human-robot interaction in concept acquisition: a computational model}},
  year         = {{2009}},
}

Web of Science
Times cited: