Using Respiration for Enhancing Human-Robot Dialogue

Takao Obi, Kotaro Funakoshi


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.
Anthology ID:
2024.sigdial-1.28
Volume:
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Month:
September
Year:
2024
Address:
Kyoto, Japan
Editors:
Tatsuya Kawahara, Vera Demberg, Stefan Ultes, Koji Inoue, Shikib Mehri, David Howcroft, Kazunori Komatani
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
325–328
Language:
URL:
https://aclanthology.org/2024.sigdial-1.28
DOI:
10.18653/v1/2024.sigdial-1.28
Bibkey:
Cite (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.
Cite (Informal):
Using Respiration for Enhancing Human-Robot Dialogue (Obi & Funakoshi, SIGDIAL 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.sigdial-1.28.pdf