Abstract
This paper presents an educational Ambient Intelligent (AmI) environment, named AmI Playfield. AmI Playfield is grounded on contemporary learning principles to build a natural playground enriched by computational vision techniques, which provides the basis for physical (kinesthetic) collaborative play and performance measurement. Visual displays, mobile controllers and sound facilities support the player strategy, while their customizations allow the easy development of a wide variety of learning applications. This paper: (i) discusses the design, implementation and evaluation of AmI Playfield, (ii) illustrates an educational arithmetic game, named Apple Hunt, developed in order to test and validate the AmI playfield environment, and (iii) discusses the evaluation of Apple Hunt in terms of both methodology and results.
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Papagiannakis, H., Ntoa, S., Antona, M., Stephanidis, C. (2012). Learning by Playing in an Ambient Intelligent Playfield. In: Bravo, J., López-de-Ipiña, D., Moya, F. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2012. Lecture Notes in Computer Science, vol 7656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35377-2_67
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DOI: https://doi.org/10.1007/978-3-642-35377-2_67
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