Title :
Human-Robot Interaction in Concept Acquisition: a computational model
Author :
De Greeff, Joachim ; Delaunay, Frédéric ; Belpaeme, Tony
Author_Institution :
Sch. of Comput., Commun. & Electron., Univ. of Plymouth, Plymouth, UK
Abstract :
This paper presents a discussion and simulation results which support the case for interaction during the acquisition of conceptual knowledge. Taking a developmental perspective, we first review a number of relevant insights on word-meaning acquisition in young children and specifically focus on concept learning supported by linguistic input. We present a computational model implementing a number of acquisition strategies, which enable a learning agent to actively steer the learning process. This is contrasted to a one way learning method, where the learner does not actively influence the learning experience. We present results demonstrating how dyadic interaction between a teacher and learner may result in a better acquisition of concepts.
Keywords :
human computer interaction; knowledge acquisition; learning (artificial intelligence); linguistics; software agents; computational model; concept acquisition; concept learning; conceptual knowledge; dyadic interaction; human-robot interaction; learning agent; learning process; linguistics; word-meaning acquisition; Artificial neural networks; Computational modeling; Displays; Humans; Learning systems; Machine learning; Natural language processing; Pediatrics; Psychology; Supervised learning; concept acquisition; human-robot interaction; language games; learning interaction;
Conference_Titel :
Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4117-4
Electronic_ISBN :
978-1-4244-4118-1
DOI :
10.1109/DEVLRN.2009.5175532