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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Kopp, S., Stocksmeier, T., & Gibbon, D. (2007). Incremental multimodal feedback for conversational agents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4722 LNCS, pp. 139–146). Springer Verlag. https://doi.org/10.1007/978-3-540-74997-4_13
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