DocumentCode
2085755
Title
Toys++ AR Embodied Agents as Tools to Learn by Building
Author
Simeone, Luca ; Iaconesi, Salvatore
Author_Institution
FakePress, Univ. La Sapienza, Rome, Italy
fYear
2010
fDate
5-7 July 2010
Firstpage
649
Lastpage
650
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).
Keywords
augmented reality; computer aided instruction; feature extraction; software agents; AR embodied agent; Toys++; educational content retrieval; figure scanning; learning tool; pretrained 3D feature recognition system; Artificial intelligence; Conferences; augmented reality; component; constructionism; enhanced learning; mathetics;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on
Conference_Location
Sousse
Print_ISBN
978-1-4244-7144-7
Type
conf
DOI
10.1109/ICALT.2010.184
Filename
5572598
Link To Document