@inproceedings{obi-funakoshi-2024-using,
title = "Using Respiration for Enhancing Human-Robot Dialogue",
author = "Obi, Takao and
Funakoshi, Kotaro",
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-1.28",
pages = "325--328",
abstract = "This paper presents the development and capabilities of a spoken dialogue robot that uses respiration to enhance human-robot dialogue. By employing a respiratory estimation technique that uses video input, the dialogue robot captures user respiratory information during dialogue. This information is then used to prevent speech collisions between the user and the robot and to present synchronized pseudo-respiration with the user, thereby enhancing the smoothness and engagement of human-robot dialogue.",
}
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<abstract>This paper presents the development and capabilities of a spoken dialogue robot that uses respiration to enhance human-robot dialogue. By employing a respiratory estimation technique that uses video input, the dialogue robot captures user respiratory information during dialogue. This information is then used to prevent speech collisions between the user and the robot and to present synchronized pseudo-respiration with the user, thereby enhancing the smoothness and engagement of human-robot dialogue.</abstract>
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%0 Conference Proceedings
%T Using Respiration for Enhancing Human-Robot Dialogue
%A Obi, Takao
%A Funakoshi, Kotaro
%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 obi-funakoshi-2024-using
%X This paper presents the development and capabilities of a spoken dialogue robot that uses respiration to enhance human-robot dialogue. By employing a respiratory estimation technique that uses video input, the dialogue robot captures user respiratory information during dialogue. This information is then used to prevent speech collisions between the user and the robot and to present synchronized pseudo-respiration with the user, thereby enhancing the smoothness and engagement of human-robot dialogue.
%U https://aclanthology.org/2024.sigdial-1.28
%P 325-328
Markdown (Informal)
[Using Respiration for Enhancing Human-Robot Dialogue](https://aclanthology.org/2024.sigdial-1.28) (Obi & Funakoshi, SIGDIAL 2024)
ACL
- Takao Obi and Kotaro Funakoshi. 2024. Using Respiration for Enhancing Human-Robot Dialogue. In Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 325–328, Kyoto, Japan. Association for Computational Linguistics.