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Managing Human-Robot Engagement with Forecasts and...um... Hesitations
2014
Proceedings of the 16th International Conference on Multimodal Interaction - ICMI '14
We explore methods for managing conversational engagement in open-world, physically situated dialog systems. We investigate a self-supervised methodology for constructing forecasting models that aim to anticipate when participants are about to terminate their interactions with a situated system. We study how these models can be leveraged to guide a disengagement policy that uses linguistic hesitation actions, such as filled and non-filled pauses, when uncertainty about the continuation of
doi:10.1145/2663204.2663241
dblp:conf/icmi/BohusH14
fatcat:hjqxvomafjderkzdhimjbstiim