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| Presentation | 2023-03-01 10:00 Design and Implementation of a Dialogue Breakdown Avoidance Method Using Excuses in a Chat Dialogue System Ryusei Ogasawara, Yuki Furuya, Kazunori Takashio (Keio Univ.)  BioX2022-63 CNR2022-29 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In order to achieve natural dialogue with a dialogue system, it is necessary to resolve dialogue breakdowns. However, while many studies have been conducted and methods established for detecting dialogue breakdowns, relatively few studies have focused on dialogue breakdown avoidance, i.e., how to avoid dialogue breakdowns after they are detected, and no clear method has been established. In this study, we propose a method for avoiding dialogue breakdowns by having the system return excuses. Excuses are mainly defined as excuses or apologies for one's own failures or negligence. If this is applied to a dialog system, a dialog failure can be interpreted as a failure or negligence from the system's point of view. Based on the above, we created a module that avoids dialogue failure by returning an excusive response that gives a good impression to the user, and implemented it in a dialogue system. In addition, two types of experiments were conducted to demonstrate the effectiveness of the proposed method: an impression evaluation experiment from the subjective viewpoint, which assumes actual operation of the system, and an impression evaluation experiment from the objective viewpoint, which qualitatively evaluates the content of the dialogue. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Artificial Intelligence / Dialogue breakdown detection / Verbal communication / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 395, CNR2022-29, pp. 7-12, March 2023. | |
| Paper # | CNR2022-29 | |
| Date of Issue | 2023-02-22 (BioX, CNR) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | BioX2022-63 CNR2022-29 |
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| Conference Information | |
| Committee | CNR BioX |
| Conference Date | 2023-03-01 - 2023-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | CNR |
| Conference Code | 2023-03-CNR-BioX |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Design and Implementation of a Dialogue Breakdown Avoidance Method Using Excuses in a Chat Dialogue System |
| Sub Title (in English) | |
| Keyword(1) | Artificial Intelligence |
| Keyword(2) | Dialogue breakdown detection |
| Keyword(3) | Verbal communication |
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| 1st Author's Name | Ryusei Ogasawara |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Yuki Furuya |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
| 3rd Author's Name | Kazunori Takashio |
| 3rd Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-03-01 10:00:00 |
| Presentation Time | 30 minutes |
| Registration for | CNR |
| Paper # | BioX2022-63, CNR2022-29 |
| Volume (vol) | vol.122 |
| Number (no) | no.394(BioX), no.395(CNR) |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2023-02-22 (BioX, CNR) |
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