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Embodied Communication in Humans and
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Ipke Wachsmuth, Manuela Lenzen, and Günther Knoblich

Print publication date: 2008

Print ISBN-13: 9780199231751

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780199231751.001.0001

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Towards a neurocognitive model of turn taking in multimodal dialog

Towards a neurocognitive model of turn taking in multimodal dialog

(p.451) 19 Towards a neurocognitive model of turn taking in multimodal dialog
Embodied Communication in Humans and Machines

James Bonaiuto

Kristinn R Thórisson

Oxford University Press

This chapter discusses hierarchically organised actions in communication. One essential, but often overlooked, feature of natural dialogue is turn taking. More recently, turn taking has become an issue in robot and virtual human research as researchers aim to make these systems more fluent and dynamic when interacting naturally with humans. The most promising way to understand turn taking is to develop a model, preferably in ways that it can be tested in interaction with real humans. This chapter describes a hybrid model that integrates features of the Ymir Turn Taking Model and Augmented Competitive Queuing by expanding key cognitive components of the former with neural mechanisms from the latter. The model is able to learn turn taking with little or no overlap in speech and to learn social turn taking cues.

Keywords:   communication, turn taking, robot, virtual human, Ymir Turn Taking Model, Augmented Competitive Queuing

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