@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://preview.aclanthology.org/fix-sig-urls/2024.sigdial-1.29/",
    doi = "10.18653/v1/2024.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."
}