5 papers
Distributed Partial Information Puzzles: Examining Common Ground Construction Under Epistemic Asymmetry
Yifan Zhu, Mariah Bradford, Kenneth Lai +4
Establishing common ground, a shared set of beliefs and mutually recognized facts, is fundamental to collaboration, yet remains a challenge for current AI systems, especially in mu…
Dynamic Epistemic Friction in Dialogue
Timothy Obiso, Kenneth Lai, Abhijnan Nath +2
Recent developments in aligning Large Language Models (LLMs) with human preferences have significantly enhanced their utility in human-AI collaborative scenarios. However, such app…
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…
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…