@inproceedings{higuchi-inaba-2024-interactive,
title = "Interactive Dialogue Interface for Personalized News Article Comprehension",
author = "Higuchi, Tomoya and
Inaba, Michimasa",
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-1.29",
pages = "329--332",
abstract = "We developed an interface to explain news articles through dialogue by considering the user{'}s comprehension level. The interface generates several pertinent questions based on the ongoing dialogue and news article, and users advance the conversation by selecting a question. Based on the user{'}s selected questions, the interface estimates their comprehension level of the news article and adjusts the difficulty of the generated questions accordingly. This enables a personalized dialogue tailored to each user{'}s comprehension needs. The results of the baseline comparison experiments confirmed the usefulness of the interface.",
}
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<abstract>We developed an interface to explain news articles through dialogue by considering the user’s comprehension level. The interface generates several pertinent questions based on the ongoing dialogue and news article, and users advance the conversation by selecting a question. Based on the user’s selected questions, the interface estimates their comprehension level of the news article and adjusts the difficulty of the generated questions accordingly. This enables a personalized dialogue tailored to each user’s comprehension needs. The results of the baseline comparison experiments confirmed the usefulness of the interface.</abstract>
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%0 Conference Proceedings
%T Interactive Dialogue Interface for Personalized News Article Comprehension
%A Higuchi, Tomoya
%A Inaba, Michimasa
%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 higuchi-inaba-2024-interactive
%X We developed an interface to explain news articles through dialogue by considering the user’s comprehension level. The interface generates several pertinent questions based on the ongoing dialogue and news article, and users advance the conversation by selecting a question. Based on the user’s selected questions, the interface estimates their comprehension level of the news article and adjusts the difficulty of the generated questions accordingly. This enables a personalized dialogue tailored to each user’s comprehension needs. The results of the baseline comparison experiments confirmed the usefulness of the interface.
%U https://aclanthology.org/2024.sigdial-1.29
%P 329-332
Markdown (Informal)
[Interactive Dialogue Interface for Personalized News Article Comprehension](https://aclanthology.org/2024.sigdial-1.29) (Higuchi & Inaba, SIGDIAL 2024)
ACL