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    <abstract>The author is interested in building dialogue systems with character and user adaptation. The goal is to create a dialogue system capable of establishing deeper relationships with users. To build a trustful relationship with users, it is important for the system to express its character. The author particularly aims to convey the system’s character through multimodal behavior. Users currently try to speak clearly to avoid speech recognition errors when interacting with SDSs. However, it is necessary to develop SDSs that allow users to converse naturally, as if they were speaking with a human. The author focused on user adaptation by considering user personality. In particular, the author proposes a system that adjusts its manner of speaking according to the user’s personality. Furthermore, the author is interested not only in adjusting the system’s speaking style to match the user but also in making the system’s listening style more conducive to natural conversation.</abstract>
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%0 Conference Proceedings
%T Character Expression and User Adaptation for Spoken Dialogue Systems
%A Yamamoto, Kenta
%Y Inoue, Koji
%Y Fu, Yahui
%Y Axelsson, Agnes
%Y Ohashi, Atsumoto
%Y Madureira, Brielen
%Y Zenimoto, Yuki
%Y Mohapatra, Biswesh
%Y Stricker, Armand
%Y Khosla, Sopan
%S Proceedings of the 20th Workshop of Young Researchers’ Roundtable on Spoken Dialogue Systems
%D 2024
%8 September
%I Association for Computational Linguistics
%C Kyoto, Japan
%F yamamoto-2024-character
%X The author is interested in building dialogue systems with character and user adaptation. The goal is to create a dialogue system capable of establishing deeper relationships with users. To build a trustful relationship with users, it is important for the system to express its character. The author particularly aims to convey the system’s character through multimodal behavior. Users currently try to speak clearly to avoid speech recognition errors when interacting with SDSs. However, it is necessary to develop SDSs that allow users to converse naturally, as if they were speaking with a human. The author focused on user adaptation by considering user personality. In particular, the author proposes a system that adjusts its manner of speaking according to the user’s personality. Furthermore, the author is interested not only in adjusting the system’s speaking style to match the user but also in making the system’s listening style more conducive to natural conversation.
%U https://aclanthology.org/2024.yrrsds-1.28
%P 76-77

Markdown (Informal)

[Character Expression and User Adaptation for Spoken Dialogue Systems](https://aclanthology.org/2024.yrrsds-1.28) (Yamamoto, YRRSDS-WS 2024)

• Character Expression and User Adaptation for Spoken Dialogue Systems (Yamamoto, YRRSDS-WS 2024)

ACL

• Kenta Yamamoto. 2024. Character Expression and User Adaptation for Spoken Dialogue Systems. In Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems, pages 76–77, Kyoto, Japan. Association for Computational Linguistics.