Laughter and Topic Changes: Temporal Distribution and Information Flow
Citation:
Bonin, Francesca and Nick Campbell and Carl Vogel, Laughter and Topic Changes: Temporal Distribution and Information Flow, 3rd IEEE Conference on Cognitive Infocommunications, Kosice, Slovakia, December 2-5, 2012, IEEE, 2012, 53 - 58Download Item:
PID2592243.pdf (Published (author's copy) - Peer Reviewed) 414.5Kb
Abstract:
Laughter is an important component of social interaction that has attracted interest within conversational analysis. However, it is not universally accepted that laughs have a function in discourse structure. In this study we explore laughter in conversation in relation to topic changes trying to understand whether laughter can be considered as a signal of discourse structure, whether there is a recurrent pattern in laughter distribution with respect to topic changes, and whether laughter has a function in predicting topic changes. In order to answer these general questions, we investigate the laughter-topic change relation from two different points of view (timing and information flow), finding interesting regularities in laughter distributions. Thus, laughter has a function in discourse structure and, although not sufficient to predict a topic change in isolation, it can be an important indicator together with other sources of information.
Author's Homepage:
http://people.tcd.ie/vogelhttp://people.tcd.ie/nick
Description:
PUBLISHEDKosice, Slovakia
Author: VOGEL, CARL; CAMPBELL, NICK
Other Titles:
3rd IEEE Conference on Cognitive InfocommunicationsPublisher:
IEEEType of material:
Conference PaperCollections:
Availability:
Full text availableKeywords:
laughter, dialog, computational linguistics, conversation analysis, information flow, social signals, discourse markers, interaction analysisSubject (TCD):
Creative Arts Practice , Digital Humanities , Intelligent Content & Communications , Telecommunications , Computational linguisticsDOI:
http://dx.doi.org/10.1109/CogInfoCom.2012.6422056ISBN:
978-1-4673-5188-1Licences: