Abstract
Computer assisted language learning (CALL) is going to be more attractive, more interactive and more realistic by introducing humanoid robots. We propose a novel joining-in type robot assisted language learning (RALL) system using two humanoid robots, one playing a role of a teacher and the other playing a role of an advanced learner. The system has a seamless scenario of a natural dialogue flow among two robots and a learner to draw the learner into the dialogue. We designed the system to switch two modes of learning: tutoring and peer learning. As a characteristic behavior of the peer learning, we expect an “alignment” phenomenon between the robot's sample answer and the learner's utterance. That is to say, the learner learns a sentence pattern by mimicking a sample answer presented by the advanced learner robot. We created a learner corpus of over 60 participants, carried out an analysis on how much alignment occurred in the interactions.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
