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Collection of Multimodal Dialog Data and Analysis of the Result of Annotation of Users’ Interest Level
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Collection of Multimodal Dialog Data and Analysis of the Result of Annotation of Users’ Interest Level
The Human-System Multimodal Dialogue Sharing Corpus Building Group is acting as a working group of SIG-SLUD for the purpose of constructing a corpus for evaluating elemental technologies of the multimodal dialogue system. In this paper, we report the results of recording chat dialogue data between a human and a virtual agent by the Wizard of OZ method conducted in 2016, and the results of the analysis of annotations of users' interest level in the data.
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