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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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Correspondence to Margherita Antona .

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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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