@article{ref1,
title="Driving dialogue dataset collection and analysis for a transformer-based conversational system that talks about scenery",
journal="Transactions of Society of Automotive Engineers of Japan",
year="2022",
author="Koga, Ko and Nishijima, Toshifumi and Sugiyama, Hiroaki",
volume="53",
number="6",
pages="1134-1139",
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.<p /> <p>Language: ja</p>",
language="ja",
issn="0287-8321",
doi="10.11351/jsaeronbun.53.1134",
url="http://dx.doi.org/10.11351/jsaeronbun.53.1134"
}