The ability to control the timing of multimodal reciprocal behavior enables robots to cooperate more fluently and effectively with humans. Specifically, I ...
This thesis seeks to enable robots to cooperate fluently with humans by automatically controlling the timing of multimodal turn-taking. Based on our empirical ...
Oct 22, 2012 · I hypothesize that human-robot turn-taking can be made more fluent through appropriate timing of multimodal actions. Managing timing includes ...
TIMING MULTIMODAL TURN-TAKING IN. HUMAN-ROBOT COOPERATIVE ACTIVITY. A Thesis. Presented to. The Academic Faculty by. Crystal Chao. In Partial Fulfillment of the ...
I hypothesize that human-robot turn-taking can be made more fluent through appropriate timing of multimodal actions. Managing timing includes understanding the ...
This work proposes a computational turn-taking model of the timing and information flow of reciprocal interactions based on the timed Petri net for the ...
This dissertation presents the design and implementation of an early turn-taking prediction framework, centered around physical human robot collaboration tasks.
Real-Time Multimodal Turn-taking Prediction to Enhance ...
www.semanticscholar.org › paper › Real-...
A novel deep learning network-based approach for predicting turn-taking events in HAI that leverages information from multiple modalities, including text, ...
We review work that has been done on modelling turn-taking, including end-of-turn detection, handling of user interruptions, generation of turn-taking cues,
Dec 10, 2024 · Timing plays a role in a range of human-robot interaction scenarios, as humans are highly sensitive to timing and interaction fluency.