Citation

Koga K, Nishijima T, Sugiyama H. Trans. Soc. Automot. Eng. Jpn. 2022; 53(6): 1134-1139.

Copyright

(Copyright © 2022, Society of Automotive Engineers of Japan)

DOI

10.11351/jsaeronbun.53.1134

PMID

unavailable

Abstract

In order to develop a Transformer-based spoken dialogue system for natural dialogue about the scenery like a passenger, we collected a dataset of dialogue between role of drivers and passengers who engaged in a dialogue by sharing scenery driving movies by online. The collected dataset was analyzed to determine the extent to which utterances that talked about scenery or involved self-disclosure occur. The results showed that basic chit-chat performance was most important, even for chit-chat dialogues that talks about scenery.

Language: ja

Keywords

Electronics and control; Engineering; Human; Human Machine Interface; Intelligent