@inproceedings{saeki-2024-assessing,
    title = "Assessing Interactional Competence with Multimodal Dialog Systems",
    author = "Saeki, Mao",
    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://preview.aclanthology.org/ingest-emnlp/2024.yrrsds-1.7/",
    doi = "10.18653/v1/2024.yrrsds-1.7",
    pages = "18--20",
    abstract = "My research interests lie in multimodal dialog systems, especially in turn-taking and the understanding and generation of non-verbal cues. I am also interested in bringing dialog system research into industry, and making virtual agents practical in real world setting. I have been working on the Intelligent Language Learning Assistant (InteLLA) system, a virtual agent designed to provide fully automated English proficiency assessments through oral conversations. This project is driven by the practical need to address the lack of opportunities for second-language learners to assess and practice their conversation skills."
}