@inproceedings{feng-2024-towards,
title = "Towards Emotion-aware Task-oriented Dialogue Systems in the Era of Large Language Models",
author = "Feng, Shutong",
editor = "Inoue, Koji and
Fu, Yahui and
Axelsson, Agnes and
Ohashi, Atsumoto and
Madureira, Brielen and
Zenimoto, Yuki and
Mohapatra, Biswesh and
Stricker, Armand and
Khosla, Sopan",
booktitle = "Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems",
month = sep,
year = "2024",
address = "Kyoto, Japan",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.yrrsds-1.30",
pages = "81--83",
abstract = "My research interests lie in the area of \textbf{modelling affective behaviours of interlocutors in conversations}. In particular, I look at emotion perception, expression, and management in information-retrieval task-oriented dialogue (ToD) systems. Traditionally, ToD systems focus primarily on fulfilling the user{'}s goal by requesting and providing appropriate information. Yet, in real life, the user{'}s emotional experience also contributes to the overall satisfaction. This requires the system{'}s ability to recognise, manage, and express emotions. To this end, I incorporated emotion in the entire ToD system pipeline (Feng et al., 2024, to appear in SIGDIAL 2024). In addition, in the era of large language models (LLMs), emotion recognition and generation have been made easy even under a zero-shot set-up (Feng et al., 2023; Stricker and Paroubek, 2024). Therefore, I am also interested in building ToD systems with LLMs and examining various types of affect in other ToD set-ups such as depression detection in clinical consultations.",
}
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<abstract>My research interests lie in the area of modelling affective behaviours of interlocutors in conversations. In particular, I look at emotion perception, expression, and management in information-retrieval task-oriented dialogue (ToD) systems. Traditionally, ToD systems focus primarily on fulfilling the user’s goal by requesting and providing appropriate information. Yet, in real life, the user’s emotional experience also contributes to the overall satisfaction. This requires the system’s ability to recognise, manage, and express emotions. To this end, I incorporated emotion in the entire ToD system pipeline (Feng et al., 2024, to appear in SIGDIAL 2024). In addition, in the era of large language models (LLMs), emotion recognition and generation have been made easy even under a zero-shot set-up (Feng et al., 2023; Stricker and Paroubek, 2024). Therefore, I am also interested in building ToD systems with LLMs and examining various types of affect in other ToD set-ups such as depression detection in clinical consultations.</abstract>
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%0 Conference Proceedings
%T Towards Emotion-aware Task-oriented Dialogue Systems in the Era of Large Language Models
%A Feng, Shutong
%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 feng-2024-towards
%X My research interests lie in the area of modelling affective behaviours of interlocutors in conversations. In particular, I look at emotion perception, expression, and management in information-retrieval task-oriented dialogue (ToD) systems. Traditionally, ToD systems focus primarily on fulfilling the user’s goal by requesting and providing appropriate information. Yet, in real life, the user’s emotional experience also contributes to the overall satisfaction. This requires the system’s ability to recognise, manage, and express emotions. To this end, I incorporated emotion in the entire ToD system pipeline (Feng et al., 2024, to appear in SIGDIAL 2024). In addition, in the era of large language models (LLMs), emotion recognition and generation have been made easy even under a zero-shot set-up (Feng et al., 2023; Stricker and Paroubek, 2024). Therefore, I am also interested in building ToD systems with LLMs and examining various types of affect in other ToD set-ups such as depression detection in clinical consultations.
%U https://aclanthology.org/2024.yrrsds-1.30
%P 81-83
Markdown (Informal)
[Towards Emotion-aware Task-oriented Dialogue Systems in the Era of Large Language Models](https://aclanthology.org/2024.yrrsds-1.30) (Feng, YRRSDS-WS 2024)
ACL