@inproceedings{feng-etal-2024-infusing,
title = "Infusing Emotions into Task-oriented Dialogue Systems: Understanding, Management, and Generation",
author = "Feng, Shutong and
Lin, Hsien-chin and
Geishauser, Christian and
Lubis, Nurul and
van Niekerk, Carel and
Heck, Michael and
Ruppik, Benjamin Matthias and
Vukovic, Renato and
Gasic, Milica",
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-1.60",
pages = "699--717",
abstract = "Emotions are indispensable in human communication, but are often overlooked in task-oriented dialogue (ToD) modelling, where the task success is the primary focus. While existing works have explored user emotions or similar concepts in some ToD tasks, none has so far included emotion modelling into a fully-fledged ToD system nor conducted interaction with human or simulated users. In this work, we incorporate emotion into the complete ToD processing loop, involving understanding, management, and generation. To this end, we extend the EmoWOZ dataset (Feng et al., 2022) with system affective behaviour labels. Through interactive experimentation involving both simulated and human users, we demonstrate that our proposed framework significantly enhances the user{'}s emotional experience as well as the task success.",
}
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<abstract>Emotions are indispensable in human communication, but are often overlooked in task-oriented dialogue (ToD) modelling, where the task success is the primary focus. While existing works have explored user emotions or similar concepts in some ToD tasks, none has so far included emotion modelling into a fully-fledged ToD system nor conducted interaction with human or simulated users. In this work, we incorporate emotion into the complete ToD processing loop, involving understanding, management, and generation. To this end, we extend the EmoWOZ dataset (Feng et al., 2022) with system affective behaviour labels. Through interactive experimentation involving both simulated and human users, we demonstrate that our proposed framework significantly enhances the user’s emotional experience as well as the task success.</abstract>
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%0 Conference Proceedings
%T Infusing Emotions into Task-oriented Dialogue Systems: Understanding, Management, and Generation
%A Feng, Shutong
%A Lin, Hsien-chin
%A Geishauser, Christian
%A Lubis, Nurul
%A van Niekerk, Carel
%A Heck, Michael
%A Ruppik, Benjamin Matthias
%A Vukovic, Renato
%A Gasic, Milica
%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 feng-etal-2024-infusing
%X Emotions are indispensable in human communication, but are often overlooked in task-oriented dialogue (ToD) modelling, where the task success is the primary focus. While existing works have explored user emotions or similar concepts in some ToD tasks, none has so far included emotion modelling into a fully-fledged ToD system nor conducted interaction with human or simulated users. In this work, we incorporate emotion into the complete ToD processing loop, involving understanding, management, and generation. To this end, we extend the EmoWOZ dataset (Feng et al., 2022) with system affective behaviour labels. Through interactive experimentation involving both simulated and human users, we demonstrate that our proposed framework significantly enhances the user’s emotional experience as well as the task success.
%U https://aclanthology.org/2024.sigdial-1.60
%P 699-717
Markdown (Informal)
[Infusing Emotions into Task-oriented Dialogue Systems: Understanding, Management, and Generation](https://aclanthology.org/2024.sigdial-1.60) (Feng et al., SIGDIAL 2024)
ACL
- Shutong Feng, Hsien-chin Lin, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Matthias Ruppik, Renato Vukovic, and Milica Gasic. 2024. Infusing Emotions into Task-oriented Dialogue Systems: Understanding, Management, and Generation. In Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 699–717, Kyoto, Japan. Association for Computational Linguistics.