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.
CITATION STYLE
Zidianakis, E., Ioannidi, D., Antona, M., & Stephanidis, C. (2015). Modeling and assessing young children abilities and development in ambient intelligence. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9425, pp. 17–33). Springer Verlag. https://doi.org/10.1007/978-3-319-26005-1_2
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