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 - 58
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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.
Other Titles:3rd IEEE Conference on Cognitive Infocommunications
Type of material:Conference Paper
Availability:Full text available
Keywords:laughter, dialog, computational linguistics, conversation analysis, information flow, social signals, discourse markers, interaction analysis