Using group history to identify character-directed utterances in multi-child interactions
Conference Paper, Proceedings of 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL '12), pp. 207 - 216, July, 2012
Abstract
Addressee identification is an element of all language-based interactions, and is critical for turn-taking. We examine the particular problem of identifying when each child playing an interactive game in a small group is speaking to an animated character. After analyzing child and adult behavior, we explore a family of machine learning models to integrate audio and visual features with temporal group interactions and limited, task-independent language. The best model performs identification about 20% better than the model that uses the audio-visual features of the child alone.
BibTeX
@conference{Hajishirzi-2012-121995,author = {Hannaneh Hajishirzi and Jill F. Lehman and Jessica K. Hodgins},
title = {Using group history to identify character-directed utterances in multi-child interactions},
booktitle = {Proceedings of 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL '12)},
year = {2012},
month = {July},
pages = {207 - 216},
}
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