@inproceedings{jiang-2024-towards,
    title = "Towards a Real-Time Multimodal Emotion Estimation Model for Dialogue Systems",
    author = "Jiang, Jingjing",
    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-1.22/",
    doi = "10.18653/v1/2024.yrrsds-1.22",
    pages = "60--61",
    abstract = "This position paper presents my research interest in establishing human-like chat-oriented dialogue systems. To this end, my work focuses on two main areas: the construction and utilization of multimodal datasets and real-time multimodal affective computing. I discuss the limitations of current multimodal dialogue corpora and multimodal affective computing models. As a solution, I have constructed a human-human dialogue dataset containing various synchronized multimodal information, and I have conducted preliminary analyses on it. In future work, I will further analyze the collected data and build a real-time multimodal emotion estimation model for dialogue systems."
}