6 papers · 1 filter
The Impact of Background Speech on Interruption Detection in Collaborative Groups
Mariah Bradford, Nikhil Krishnaswamy, Nathaniel Blanchard
Interruption plays a crucial role in collaborative learning, shaping group interactions and influencing knowledge construction. AI-driven support can assist teachers in monitoring…
TRACE: Real-Time Multimodal Common Ground Tracking in Situated Collaborative Dialogues
Hannah VanderHoeven, Brady Bhalla, Ibrahim Khebour +11
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, g…
Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement
Derek Palmer, Yifan Zhu, Kenneth Lai +8
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 cruc…
Any Other Thoughts, Hedgehog? Linking Deliberation Chains in Collaborative Dialogues
Abhijnan Nath, Videep Venkatesha, Mariah Bradford +5
Question-asking in collaborative dialogue has long been established as key to knowledge construction, both in internal and collaborative problem solving. In this work, we examine p…
Common Ground Tracking in Multimodal Dialogue
Ibrahim Khebour, Kenneth Lai, Mariah Bradford +8
Within Dialogue Modeling research in AI and NLP, considerable attention has been spent on ``dialogue state tracking'' (DST), which is the ability to update the representations of t…
How Good is Automatic Segmentation as a Multimodal Discourse Annotation Aid?
Corbyn Terpstra, Ibrahim Khebour, Mariah Bradford +3
Collaborative problem solving (CPS) in teams is tightly coupled with the creation of shared meaning between participants in a situated, collaborative task. In this work, we assess…