Collection of Multimodal Dialog Data and Analysis of the Result of Annotation of Users’ Interest Level
Masahiro Araki, Sayaka Tomimasu, Mikio Nakano, Kazunori Komatani, Shogo Okada, Shinya Fujie, Hiroaki Sugiyama · 2018
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.