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European Conference on Ambient Intelligence

AmI 2015: Ambient Intelligence pp 17–33Cite as

Modeling and Assessing Young Children Abilities and Development in Ambient Intelligence

Part of the Lecture Notes in Computer Science book series (LNISA,volume 9425)

Abstract

This paper presents a novel framework, called Bean, which aims to monitor, evaluate and enhance pre-school children’s skills and abilities through playing in Ambient Intelligence environments. The framework includes: (i) a model of children development based on the ICF-CY model and the Denver - II assessment tool, aiming at early detection of children’s potential developmental issues to be further investigated and addressed if necessary; (ii) a reasoning mechanism for the automated extraction of child development knowledge, based on interaction monitoring, targeted to model relevant aspects of child’s developmental stage, maturity level and skills; (iii) content editing tools and reporting facilities for parents and therapists. The framework has been implemented in the context of an AmI environment for supporting children play in AmI, deploying a collection of augmented artifacts, as well as a collection of digital reproductions of popular games.

Keywords

  • Child play
  • Development
  • Ambient intelligence
  • Evaluation process and/or assessment

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Notes

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Acknowledgments

This work is supported by the FORTH-ICS internal RTD Programme ‘Ambient Intelligence and Smart Environments’.

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Authors and Affiliations

  1. Foundation for Research and Technology – Hellas (FORTH) - Institute of Computer Science, N. Plastira 100, Vassilika Vouton, 700 13, Heraklion, Crete, Greece

    Emmanouil Zidianakis, Danai Ioannidi, Margherita Antona & Constantine Stephanidis

  2. Department of Computer Science, University of Crete, Heraklion, Crete, Greece

    Constantine Stephanidis

Authors
  1. Emmanouil Zidianakis
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  2. Danai Ioannidi
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  3. Margherita Antona
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  4. Constantine Stephanidis
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Corresponding author

Correspondence to Margherita Antona .

Editor information

Editors and Affiliations

  1. Philips Research, Eindhoven, The Netherlands

    Boris De Ruyter

  2. Hellenic Open University, Patras, Greece

    Achilles Kameas

  3. Institute of Thessaloniki, Alexander Technological Educational, Sindos, Greece

    Periklis Chatzimisios

  4. Hellenic Open University, Patras, Greece

    Irene Mavrommati

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Zidianakis, E., Ioannidi, D., Antona, M., Stephanidis, C. (2015). Modeling and Assessing Young Children Abilities and Development in Ambient Intelligence. In: De Ruyter, B., Kameas, A., Chatzimisios, P., Mavrommati, I. (eds) Ambient Intelligence. AmI 2015. Lecture Notes in Computer Science(), vol 9425. Springer, Cham. https://doi.org/10.1007/978-3-319-26005-1_2

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