Article | Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16 | Classifying Multimodal Turn Management in Danish Dyadic First Encounters
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Title:
Classifying Multimodal Turn Management in Danish Dyadic First Encounters
Author:
Constanza Navarretta: University of Copenhagen, Copenhagen Denmark Patrizia Paggio: University of Copenhagen, Copenhagen Denmark and University of Malta, Valletta Malta
Download:
Full text (pdf)
Year:
2013
Conference:
Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16
Issue:
085
Article no.:
015
Pages:
133-146
No. of pages:
14
Publication type:
Abstract and Fulltext
Published:
2013-05-17
ISBN:
978-91-7519-589-6
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press; Linköpings universitet


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This paper deals with multimodal turn management in an annotated Danish corpus of video recorded dyadic conversations between young people who meet for the first time. Conversation participants indicate whether they wish to give; take or keep the turn through speech as well as body behaviours. In this study we present an analysis of turn management body behaviours as well as classification experiments run on the annotated data in order to investigate how far it is possible to distinguish between the different types of turn management expressed by body behaviours using their shape and the co-occurring speech expressions. Our study comprises body behaviours which have not been previously investigated with respect to turn management; so that it not only confirms preceding studies on turn management in English but also provides new insight on how speech and body behaviours are used together in communication. The classification experiments indicate that the shape annotations of all kinds of body behaviour together with information about the gesturer’s co-occurring speech are useful to classify turn management types; and that the various behaviours contribute to the expression of turn features in different ways. Thus; knowledge of the different cues used by speakers in face-to-face communication to signal different types of turn shift provides the basis for modelling turn management; which is in turn key to implement natural conversation flow in multimodal dialogue systems.

Keywords: Multimodal Communication; Turn Management; Multimodal Corpora; Machine Learning

Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Author:
Constanza Navarretta, Patrizia Paggio
Title:
Classifying Multimodal Turn Management in Danish Dyadic First Encounters
References:

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Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Author:
Constanza Navarretta, Patrizia Paggio
Title:
Classifying Multimodal Turn Management in Danish Dyadic First Encounters
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