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An analysis of multimodal cues of interruption in dyadic spoken interactions
Abstract
Interruptions are integral elements of natural spontaneous human interaction. Both competitive and cooperative interruption serve a distinct role in the flow of conversation. This paper analyzes their differences with features, change and activeness, employing audio, visual, and disfluency data. These features are able to capture differences between the two types of interruptions better than average feature values of any single modality. Also, discriminant analysis shows that the use of multimodal cues provides a 21% improvement in classification accuracy between the two types of interruptions relative to the baseline while any individual single modality cue does not provide significant improvement.
Figures
An example of clustering of right hand motions into 4 regions
An example of clustering of right hand motions into 4 regions
Keywords
dyadic interaction | interruption | multimodal | turn taking
Authors
Publication Date
2008/09/22
Conference
Interspeech
Interspeech 2008
DOI
10.21437/Interspeech.2008-366
Publisher
ISCA