Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement
Abstract
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.
Cite
Text
Palmer et al. "Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I28.35364Markdown
[Palmer et al. "Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/palmer2025aaai-speech/) doi:10.1609/AAAI.V39I28.35364BibTeX
@inproceedings{palmer2025aaai-speech,
title = {{Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement}},
author = {Palmer, Derek and Zhu, Yifan and Lai, Kenneth and VanderHoeven, Hannah and Bradford, Mariah and Khebour, Ibrahim and Mabrey, Carlos and Fitzgerald, Jack and Krishnaswamy, Nikhil and Palmer, Martha and Pustejovsky, James},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2025},
pages = {29676-29678},
doi = {10.1609/AAAI.V39I28.35364},
url = {https://mlanthology.org/aaai/2025/palmer2025aaai-speech/}
}