TY - GEN
T1 - Wubble world
AU - Hewlett, Daniel
AU - Hoversten, Shane
AU - Kerr, Wesley
AU - Cohen, Paul
AU - Chang, Yu Han
PY - 2007
Y1 - 2007
N2 - We introduce Wubble World, a virtual environment for learning situated language. In Wubble World children create avatars, called "wubbles," which can interact with other children's avatars through free-form spontaneous play or structured language games. Wubbles can also learn language from direct interaction with children, since the system uses principles from developmental psychology to restrict the complexity of this learning task: A shared attention model that includes deictic pointing, and a concept acquisition system that allows for rapid learning of new words from a limited number of exposures. Since we have complete knowledge of the state and structure of the virtual environment, we are able to track correspondences between utterances and the scene in which they are uttered. This sentence/scene corpus will be a valuable resource as we attempt to tackle more sophisticated language learning tasks, such as the acquisition of syntax and verb semantics from world dynamics.
AB - We introduce Wubble World, a virtual environment for learning situated language. In Wubble World children create avatars, called "wubbles," which can interact with other children's avatars through free-form spontaneous play or structured language games. Wubbles can also learn language from direct interaction with children, since the system uses principles from developmental psychology to restrict the complexity of this learning task: A shared attention model that includes deictic pointing, and a concept acquisition system that allows for rapid learning of new words from a limited number of exposures. Since we have complete knowledge of the state and structure of the virtual environment, we are able to track correspondences between utterances and the scene in which they are uttered. This sentence/scene corpus will be a valuable resource as we attempt to tackle more sophisticated language learning tasks, such as the acquisition of syntax and verb semantics from world dynamics.
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M3 - Conference contribution
AN - SCOPUS:84883086668
SN - 9781577353256
T3 - Proceedings of the 3rd Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2007
SP - 20
EP - 24
BT - Proceedings of the 3rd Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2007
T2 - 3rd Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE 2007
Y2 - 6 June 2007 through 8 June 2007
ER -