@inproceedings{nozue-etal-2024-multimodal,
title = "A Multimodal Dialogue System to Lead Consensus Building with Emotion-Displaying",
author = "Nozue, Shinnosuke and
Nakano, Yuto and
Moriya, Shoji and
Ariyama, Tomoki and
Kokuta, Kazuma and
Xie, Suchun and
Sato, Kai and
Sone, Shusaku and
Kamei, Ryohei and
Akama, Reina and
Matsubayashi, Yuichiroh and
Sakaguchi, Keisuke",
editor = "Kawahara, Tatsuya and
Demberg, Vera and
Ultes, Stefan and
Inoue, Koji and
Mehri, Shikib and
Howcroft, David and
Komatani, Kazunori",
booktitle = "Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue",
month = sep,
year = "2024",
address = "Kyoto, Japan",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.sigdial-1.57",
pages = "669--673",
abstract = "The evolution of large language models has enabled fluent dialogue, increasing interest in the coexistence of humans and avatars. An essential aspect of achieving this coexistence involves developing sophisticated dialogue systems that can influence user behavior. In this background, we propose an effective multimodal dialogue system designed to promote consensus building with humans. Our system employs a slot-filling strategy to guide discussions and attempts to influence users with suggestions through emotional expression and intent conveyance via its avatar. These innovations have resulted in our system achieving the highest performance in a competition evaluating consensus building between humans and dialogue systems. We hope that our research will promote further discussion on the development of dialogue systems that enhance consensus building in human collaboration.",
}
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%0 Conference Proceedings
%T A Multimodal Dialogue System to Lead Consensus Building with Emotion-Displaying
%A Nozue, Shinnosuke
%A Nakano, Yuto
%A Moriya, Shoji
%A Ariyama, Tomoki
%A Kokuta, Kazuma
%A Xie, Suchun
%A Sato, Kai
%A Sone, Shusaku
%A Kamei, Ryohei
%A Akama, Reina
%A Matsubayashi, Yuichiroh
%A Sakaguchi, Keisuke
%Y Kawahara, Tatsuya
%Y Demberg, Vera
%Y Ultes, Stefan
%Y Inoue, Koji
%Y Mehri, Shikib
%Y Howcroft, David
%Y Komatani, Kazunori
%S Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
%D 2024
%8 September
%I Association for Computational Linguistics
%C Kyoto, Japan
%F nozue-etal-2024-multimodal
%X The evolution of large language models has enabled fluent dialogue, increasing interest in the coexistence of humans and avatars. An essential aspect of achieving this coexistence involves developing sophisticated dialogue systems that can influence user behavior. In this background, we propose an effective multimodal dialogue system designed to promote consensus building with humans. Our system employs a slot-filling strategy to guide discussions and attempts to influence users with suggestions through emotional expression and intent conveyance via its avatar. These innovations have resulted in our system achieving the highest performance in a competition evaluating consensus building between humans and dialogue systems. We hope that our research will promote further discussion on the development of dialogue systems that enhance consensus building in human collaboration.
%U https://aclanthology.org/2024.sigdial-1.57
%P 669-673
Markdown (Informal)
[A Multimodal Dialogue System to Lead Consensus Building with Emotion-Displaying](https://aclanthology.org/2024.sigdial-1.57) (Nozue et al., SIGDIAL 2024)
ACL
- Shinnosuke Nozue, Yuto Nakano, Shoji Moriya, Tomoki Ariyama, Kazuma Kokuta, Suchun Xie, Kai Sato, Shusaku Sone, Ryohei Kamei, Reina Akama, Yuichiroh Matsubayashi, and Keisuke Sakaguchi. 2024. A Multimodal Dialogue System to Lead Consensus Building with Emotion-Displaying. In Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 669–673, Kyoto, Japan. Association for Computational Linguistics.