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Collection of Multimodal Dialog Data and Analysis of the Result of Annotation of Users’ Interest Level
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Abstract
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.