Enhancing Consistency in Multimodal Dialogue System Using LLM with
  Dialogue Scenario
Hiroki Onozeki Zhiyang Qi Kazuma Akiyama Ryutaro Asahara Takumasa Kaneko Michimasa Inaba
This paper describes our dialogue system submitted to Dialogue Robot
Competition 2023. The system's task is to help a user at a travel agency decide
on a plan for visiting two sightseeing spots in Kyoto City that satisfy the
user. Our dialogue system is flexible and stable and responds to user
requirements by controlling dialogue flow according to dialogue scenarios. We
also improved user satisfaction by introducing motion and speech control based
on system utterances and user situations. In the preliminary round, our system
was ranked fifth in the impression evaluation and sixth in the plan evaluation
among all 12 teams.