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Impact of Tutoring Strategies in Grounded Lexicon Learning

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Social Robotics (ICSR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10652))

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Abstract

This paper investigates the role of tutor feedback in grounded language learning experiments. We compare two dominant paradigms in language learning: interactive learning and cross-situational learning using robot-robot experiments in the real world. In particular, we study a mixed paradigm, introduced in earlier work, only now in real world interaction. Our experiments quantify the potential impact of social feedback in language learning. Since the grounded world is a more structured environment than random worlds, we also quantify whether algorithms can make use of that structure.

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Notes

  1. 1.

    https://github.com/mspranger/data-qrio-objects.

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Author information

Authors and Affiliations

  1. Vrije Universiteit Brussel, 2 Pleinlaan, 1050, Brussels, Belgium

    Jens Nevens

  2. Sony Computer Science Laboratories Inc., 3-14-13 Higashigotanda, Tokyo, Japan

    Michael Spranger

Authors
  1. Jens Nevens
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  2. Michael Spranger
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Corresponding author

Correspondence to Jens Nevens .

Editor information

Editors and Affiliations

  1. CNRS-AIST JRL, Tsukuba, Japan

    Abderrahmane Kheddar

  2. CNRS-AIST JRL, Tsukuba, Japan

    Eiichi Yoshida

  3. The National University of Singapore, Singapore, Singapore

    Shuzhi Sam Ge

  4. University of Tsukuba, Tsukuba, Japan

    Kenji Suzuki

  5. Qatar University, Doha, Qatar

    John-John Cabibihan

  6. CITEC, Bielefeld, Germany

    Friederike Eyssel

  7. Wichita State University, Wichita, Kansas, USA

    Hongsheng He

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Nevens, J., Spranger, M. (2017). Impact of Tutoring Strategies in Grounded Lexicon Learning. In: Kheddar, A., et al. Social Robotics. ICSR 2017. Lecture Notes in Computer Science(), vol 10652. Springer, Cham. https://doi.org/10.1007/978-3-319-70022-9_35

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  • DOI: https://doi.org/10.1007/978-3-319-70022-9_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70021-2

  • Online ISBN: 978-3-319-70022-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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