Our goal is to develop an AI Partner that can provide support for group problem solving and social dynamics. In multi-party working group environments, multimodal analytics is crucial for identifying non-verbal interactions of group members. In conjunction with their verbal participation, this creates an holistic understanding of collaboration and engagement that provides necessary context for the AI Partner. In this demo, we illustrate our present capabilities at detecting and tracking nonverbal behavior in student task-oriented interactions in the classroom, and the implications for tracking common ground and engagement.
@article{arxiv.2412.05797,
title = {Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement},
author = {Derek Palmer and Yifan Zhu and Kenneth Lai and Hannah VanderHoeven and Mariah Bradford and Ibrahim Khebour and Carlos Mabrey and Jack Fitzgerald and Nikhil Krishnaswamy and Martha Palmer and James Pustejovsky},
journal= {arXiv preprint arXiv:2412.05797},
year = {2024}
}
Comments
3 pages, 2 figures, appearing at AAAI 2025 Demos Track