| Presentation | 2009/12/14 Estimation method of user satisfaction based on dialog history N-gram for spoken dialog system Sunao Hara, Norihide Kitaoka, Kazuya Takeda, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose an estimation method of user satisfaction for a spoken dialog system using an N-gram likelihood based on dialog history model. For the experiment, we use spoken dialog histories between users and the system, which is contained in an real environmental speech data that was collected by a music retrieval system with a spoken dialog interface, and we estimate their satisfaction level based on the N-gram likelihood. An N-gram model is trained from encoded sequences that consist of users' dialog acts and the system's dialog acts for each user satisfaction level. Experimental results show that our proposed method achieved good classification performance, especially the false detection rate of 10% in the experiment of a classification into dialogs with task completion and those without task completion. |
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| Committee | NLC |
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| Conference Date | 2009/12/14(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Estimation method of user satisfaction based on dialog history N-gram for spoken dialog system |
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| 1st Author's Name | Sunao Hara |
| 1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
| 2nd Author's Name | Norihide Kitaoka |
| 2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 3rd Author's Name | Kazuya Takeda |
| 3rd Author's Affiliation | Graduate School of Information Science, Nagoya University |
| Date | 2009/12/14 |
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| Volume (vol) | vol.109 |
| Number (no) | 355 |
| Page | pp.pp.- |
| #Pages | 6 |
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