Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
36th (2022)
Session ID : 2F4-GS-9-03
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Improving utterance understanding with a tutorial in task-oriented dialogue systems
*Ryu HIRAIAtsumoto OHASHIAo GUORyuichiro HIGASHINAKA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Although the performance of task-oriented dialogue systems has been improving, not all users are able to accomplish their tasks perfectly. In particular, users with little knowledge of the system may not know how to effectively communicate with the system, resulting in dialogue breakdowns and failure to accomplish the task. In this study, we aim to improve the system's understanding of user utterances by providing a tutorial at the beginning of a dialogue to notify users of the type of utterances that the system can understand. We built a tutorial system using the MultiWOZ dataset and verified its effectiveness through utterance understanding experiments with human users.

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© 2022 The Japanese Society for Artificial Intelligence
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