Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
Generative Modelling of Dyadic Conversations: Characterization of Pragmatic Skills During Development Age
verfasst von : Anna Pesarin, Monja Tait, Alessandro Vinciarelli, Cristina Segalin, Giovanni Bilancia, Marco Cristani
Erschienen in: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
This work investigates the effect of children age on pragmatic skills, i.e. on the way children participate in conversations, in particular when it comes to turn-management (who talks when and how much) and use of silences and pauses. The proposed approach combines the extraction of “Steady Conversational Periods” - time intervals during which the structure of a conversation is stable - with Observed Influence Models, Generative Score Spaces and feature selection strategies. The experiments involve 76 children split into two age groups: “pre-School” (3-4 years) and “School” (6-8 years). The statistical approach proposed in this work predicts the group each child belongs to with precision up to 85%. Furthermore, it identifies the pragmatic skills that better account for the difference between the two groups.