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Enhanced ''listening skill'' makes robot better at talking

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Photo for representation only. — Thinkstock.
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TOKYO: Scientists have upgraded a conversational human-like robot, giving it a greater ability to have a natural dialogue with people by enhancing its listening skills.

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The android ERICA, created by Hiroshi Ishiguro of Osaka University in Japan, was specifically designed for natural conversation through incorporation of human-like facial expressions and gestures.

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"When we talk to one another, it's never a simple back and forward progression of information," said Tatsuya Kawahara of Kyoto University in Japan.

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"Listening is active. We express agreement by nodding or saying 'uh-huh' to maintain the momentum of conversation. This is called 'back-channeling', and is something we wanted to implement with ERICA," said Kawahara.

The team also focused on developing a system for 'attentive listening'. This is when a listener asks elaborating questions, or repeats the last word of the speaker's sentence, allowing for more engaging dialogue.

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Deploying a series of distance sensors, facial recognition cameras, and microphone arrays, the team began collecting data on parameters necessary for a fluid dialogue between ERICA and a human subject.

"We looked at three qualities when studying back-channeling. These were: timing — when a response happens; lexical form — what is being said; and prosody, or how the response happens," said Kawahara.

Responses were generated through machine learning using a counselling dialogue corpus, resulting in dramatically improved dialog engagement.

Testing in five-minute sessions with a human subject, ERICA demonstrated significantly more dynamic speaking skill, including the use of back-channeling, partial repeats, and statement assessments.

"Making a human-like conversational robot is a major challenge. This project reveals how much complexity there is in listening, which we might consider mundane," said Kawahara. — PTI.

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