Using vision, acoustics, and natural language for disambiguation
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Investigating multimodal real-time patterns of joint attention in an hri word learning task
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
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This paper presents a communication robot that can generate a referent identification conversation with human users. First, we conduct an experiment to collect face-to-face referent identification communication and investigate how the referent is identified by exchanging multiple speech turns between the participants. On the basis of the experimental observations, we implement a communication robot that can manage a referent identification conversation with a user by integrating the linguistic information obtained from speech recognition and the vision information obtained from a robot camera.