@inproceedings{lai-sato-2024-multi,
title = "Multi-Criteria Evaluation Framework of Selecting Response-worthy Chats in Live Streaming",
author = "Lai, Zhantao and
Sato, Kosuke",
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-1.16",
pages = "186--191",
abstract = "Live streaming, a dynamic medium that merges real-time audiovisual content with interactive text-based chat, presents unique challenges for maintaining viewer engagement and ensuring streamers{'} well-being. This study introduces a multi-criteria evaluation framework designed to identify response-worthy chats during live streaming. We proposed a system that evaluates chats based on sentiment polarity and intensity, contextual relevance, and topic uniqueness. We also constructed a dataset annotated by human reviewers who validates the framework, demonstrating a closer alignment with human preferences compared to single-criterion baselines. This framework not only supports the development of more responsive and engaging live streaming environments but also contributes to the broader field of dialog systems by highlighting the distinct needs of real-time, large-scale conversational contexts.",
}
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<abstract>Live streaming, a dynamic medium that merges real-time audiovisual content with interactive text-based chat, presents unique challenges for maintaining viewer engagement and ensuring streamers’ well-being. This study introduces a multi-criteria evaluation framework designed to identify response-worthy chats during live streaming. We proposed a system that evaluates chats based on sentiment polarity and intensity, contextual relevance, and topic uniqueness. We also constructed a dataset annotated by human reviewers who validates the framework, demonstrating a closer alignment with human preferences compared to single-criterion baselines. This framework not only supports the development of more responsive and engaging live streaming environments but also contributes to the broader field of dialog systems by highlighting the distinct needs of real-time, large-scale conversational contexts.</abstract>
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%0 Conference Proceedings
%T Multi-Criteria Evaluation Framework of Selecting Response-worthy Chats in Live Streaming
%A Lai, Zhantao
%A Sato, Kosuke
%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 lai-sato-2024-multi
%X Live streaming, a dynamic medium that merges real-time audiovisual content with interactive text-based chat, presents unique challenges for maintaining viewer engagement and ensuring streamers’ well-being. This study introduces a multi-criteria evaluation framework designed to identify response-worthy chats during live streaming. We proposed a system that evaluates chats based on sentiment polarity and intensity, contextual relevance, and topic uniqueness. We also constructed a dataset annotated by human reviewers who validates the framework, demonstrating a closer alignment with human preferences compared to single-criterion baselines. This framework not only supports the development of more responsive and engaging live streaming environments but also contributes to the broader field of dialog systems by highlighting the distinct needs of real-time, large-scale conversational contexts.
%U https://aclanthology.org/2024.sigdial-1.16
%P 186-191
Markdown (Informal)
[Multi-Criteria Evaluation Framework of Selecting Response-worthy Chats in Live Streaming](https://aclanthology.org/2024.sigdial-1.16) (Lai & Sato, SIGDIAL 2024)
ACL