Toys++: AR embodied agents as tools to learn by building

Luca Simeone*, Salvatore Iaconesi

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

6 Citations (Scopus)

Abstract

This paper presents a prototype for an augmented-reality based toy. Toys++ is grounded on the concept that the actual activity of building tangible artifacts can speed up learning processes. Toys ++ aims at assembling a framework that will allow the use of existing physical components of the toy as triggers. When the toy is placed under the webcam, a pre-trained 3D feature recognition system scans the entire figure, trying to identify some specific components. If any of these elements are recognized, the system will retrieve and show educational content from selected sources (texts, videos, pictures).

Original languageEnglish
Title of host publicationProceedings - 10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010
Number of pages2
Publication date2010
Pages649-650
Article number5572598
ISBN (Print)9780769540559
DOIs
Publication statusPublished - 2010
Event10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010 - Sousse, Tunisia
Duration: 5 Jul 20107 Jul 2010

Conference

Conference10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010
Country/TerritoryTunisia
CitySousse
Period05/07/201007/07/2010
SponsorIEEE Technical Committee on Learning Technology, IEEE
SeriesProceedings - 10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010

Keywords

  • Augmented reality
  • Component
  • Constructionism
  • Enhanced learning
  • Mathetics

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