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Learning by Playing in an Ambient Intelligent Playfield

  • Conference paper
Ubiquitous Computing and Ambient Intelligence (UCAmI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7656))

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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Author information

Authors and Affiliations

  1. Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Haris Papagiannakis, Stavroula Ntoa, Margherita Antona & Constantine Stephanidis

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

    Constantine Stephanidis

Authors
  1. Haris Papagiannakis
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  2. Stavroula Ntoa
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  3. Margherita Antona
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  4. Constantine Stephanidis
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Editor information

Editors and Affiliations

  1. Castilla – La Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    José Bravo

  2. Deusto University, Bilbao, Spain

    Diego López-de-Ipiña

  3. Computer Architecture and Networks Group, School of Computer Science, University of Castilla-La Mancha, Ciudad Real, Spain

    Francisco Moya

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© 2012 Springer-Verlag Berlin Heidelberg

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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

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35376-5

  • Online ISBN: 978-3-642-35377-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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