We consider the challenge of predicting the engagement of people with an open-world dialog system, where one or more participants may establish, maintain, and break the communication frame. We show in particular how a system can learn to predict an intention to engage from multiple observations that are extracted from a visual analysis of people coming into the proximity of a system.<\/p>\n","protected":false},"excerpt":{"rendered":"
We consider the challenge of predicting the engagement of people with an open-world dialog system, where one or more participants may establish, maintain, and break the communication frame. We show in particular how a system can learn to predict an intention to engage from multiple observations that are extracted from a visual analysis of people 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