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Modeling and Assessing Young Children Abilities and Development in Ambient Intelligence

  • Emmanouil Zidianakis
  • Danai Ioannidi
  • Margherita AntonaEmail author
  • Constantine Stephanidis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, 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 

Notes

Acknowledgments

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

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Emmanouil Zidianakis
    • 1
  • Danai Ioannidi
    • 1
  • Margherita Antona
    • 1
    Email author
  • Constantine Stephanidis
    • 1
    • 2
  1. 1.Foundation for Research and Technology – Hellas (FORTH) - Institute of Computer ScienceHeraklion, CreteGreece
  2. 2.Department of Computer ScienceUniversity of CreteHeraklion, CreteGreece

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