One of my colleague made a presentation at Human-Agent-Interaction symposium in Tokyo yesterday.

The assumption is that the human-like spoken dialogs are highly effective. Our proposal is to use the reinforcement-learning for acquiring the strategy how to respond quickly to overlapped utterances, interruptions, or gestures during spoken dialogs between human and machine. Although the research is still in early stage, we hope something like mind-reading will be possible, in other words, the users of spoken dialog systems do not need to say from the beginning to the end.
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