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Incremental Multimodal Feedback for Conversational Agents

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4722))

Abstract

Just like humans, conversational computer systems should not listen silently to their input and then respond. Instead, they should enforce the speaker-listener link by attending actively and giving feedback on an utterance while perceiving it. Most existing systems produce direct feedback responses to decisive (e.g. prosodic) cues. We present a framework that conceives of feedback as a more complex system, resulting from the interplay of conventionalized responses to eliciting speaker events and the multimodal behavior that signals how internal states of the listener evolve. A model for producing such incremental feedback, based on multi-layered processes for perceiving, understanding, and evaluating input, is described.

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Catherine Pelachaud Jean-Claude Martin Elisabeth André Gérard Chollet Kostas Karpouzis Danielle Pelé

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© 2007 Springer-Verlag Berlin Heidelberg

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Kopp, S., Stocksmeier, T., Gibbon, D. (2007). Incremental Multimodal Feedback for Conversational Agents. In: Pelachaud, C., Martin, JC., André, E., Chollet, G., Karpouzis, K., Pelé, D. (eds) Intelligent Virtual Agents. IVA 2007. Lecture Notes in Computer Science(), vol 4722. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74997-4_13

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  • DOI: https://doi.org/10.1007/978-3-540-74997-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74996-7

  • Online ISBN: 978-3-540-74997-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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