Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement

Fuente: arXiv
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Hauptverfasser: Palmer, Derek, Zhu, Yifan, Lai, Kenneth, VanderHoeven, Hannah, Bradford, Mariah, Khebour, Ibrahim, Mabrey, Carlos, Fitzgerald, Jack, Krishnaswamy, Nikhil, Palmer, Martha, Pustejovsky, James
Format: Preprint
Veröffentlicht: 2024
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author Palmer, Derek
Zhu, Yifan
Lai, Kenneth
VanderHoeven, Hannah
Bradford, Mariah
Khebour, Ibrahim
Mabrey, Carlos
Fitzgerald, Jack
Krishnaswamy, Nikhil
Palmer, Martha
Pustejovsky, James
author_facet Palmer, Derek
Zhu, Yifan
Lai, Kenneth
VanderHoeven, Hannah
Bradford, Mariah
Khebour, Ibrahim
Mabrey, Carlos
Fitzgerald, Jack
Krishnaswamy, Nikhil
Palmer, Martha
Pustejovsky, James
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2412_05797
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement
Palmer, Derek
Zhu, Yifan
Lai, Kenneth
VanderHoeven, Hannah
Bradford, Mariah
Khebour, Ibrahim
Mabrey, Carlos
Fitzgerald, Jack
Krishnaswamy, Nikhil
Palmer, Martha
Pustejovsky, James
Computation and Language
Artificial Intelligence
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.
title Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement
topic Computation and Language
Artificial Intelligence
url https://arxiv.org/abs/2412.05797