Transactions of Society of Automotive Engineers of Japan
Online ISSN : 1883-0811
Print ISSN : 0287-8321
ISSN-L : 0287-8321
Research Paper
Driving Dialogue Dataset Collection and Analysis for a Transformer-Based Conversational System that Talks About Scenery
Ko KogaToshifumi NishijimaHiroaki Sugiyama
Author information
JOURNAL FREE ACCESS

2022 Volume 53 Issue 6 Pages 1134-1139

Details
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.
Content from these authors
© 2022 Society of Automotive Engineers of Japan, Inc.
Previous article Next article
feedback
Top