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MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
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Context-based word acquisition for situated dialogue in a virtual world
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Estimating a user's conversational engagement based on head pose information
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Gamble — a multiuser game with an embodied conversational agent
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Gaze awareness in conversational agents: Estimating a user's conversational engagement from eye gaze
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HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV
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We investigate the verbal and nonverbal means for grounding, and propose a design for embodied conversational agents that relies on both kinds of signals to establish common ground in human-computer interaction. We analyzed eye gaze, head nods and attentional focus in the context of a direction-giving task. The distribution of nonverbal behaviors differed depending on the type of dialogue move being grounded, and the overall pattern reflected a monitoring of lack of negative feedback. Based on these results, we present an ECA that uses verbal and nonverbal grounding acts to update dialogue state.