@inproceedings{vanderhoeven-etal-2025-trace,
    title = "{TRACE}: Real-Time Multimodal Common Ground Tracking in Situated Collaborative Dialogues",
    author = "VanderHoeven, Hannah  and
      Bhalla, Brady  and
      Khebour, Ibrahim  and
      Youngren, Austin C.  and
      Venkatesha, Videep  and
      Bradford, Mariah  and
      Fitzgerald, Jack  and
      Mabrey, Carlos  and
      Tu, Jingxuan  and
      Zhu, Yifan  and
      Lai, Kenneth  and
      Jung, Changsoo  and
      Pustejovsky, James  and
      Krishnaswamy, Nikhil",
    editor = "Dziri, Nouha  and
      Ren, Sean (Xiang)  and
      Diao, Shizhe",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.naacl-demo.5/",
    pages = "40--50",
    ISBN = "979-8-89176-191-9",
    abstract = "We present TRACE, a novel system for live *common ground* tracking in situated collaborative tasks. With a focus on fast, real-time performance, TRACE tracks the speech, actions, gestures, and visual attention of participants, uses these multimodal inputs to determine the set of task-relevant propositions that have been raised as the dialogue progresses, and tracks the group{'}s epistemic position and beliefs toward them as the task unfolds. Amid increased interest in AI systems that can mediate collaborations, TRACE represents an important step forward for agents that can engage with multiparty, multimodal discourse."
}