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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sugiyama, Takaaki |
| Abstract | A human speaker considers her interlocutor's situation when she determines to begin speaking in human-human interaction. We assume this tendency is also applicable to human-robot interaction when a human treats a humanoid robot as a social being and behaves as a cooperative user. As a part of this social norm, we have built a model of predicting when a user is likely to begin speaking to a humanoid robot. This proposed model can be used to prevent a robot from generating erroneous reactions by ignoring input noises. In my Ph.D. thesis, we will realize robust human-robot interaction under real environments with noises. To achieve this, we began constructing a robot dialogue system using multiple modalities, such as audio and visual, and the robot's posture information. We plan to: 1) construct a robot dialogue system, 2) develop systems using social norms, such as an input sound classifier, controlling user's untimely utterances, and estimating user's degree of urgency, and 3) extend it from a one-to-one dialogue system to a multi-party one. |
| Starting Page | 354 |
| Ending Page | 358 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781450328852 |
| DOI | 10.1145/2663204.2666283 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-11-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Human-robot interaction Spoken dialogue systems |
| Content Type | Text |
| Resource Type | Article |
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