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This paper describes our dialogue system submitted to Dialogue RobotCompetition 2023. The system's task is to help a user at a travel agency decideon a plan for visiting two sightseeing spots in Kyoto City that satisfy theuser. Our dialogue system is flexible and stable and responds to userrequirements by controlling dialogue flow according to dialogue scenarios. Wealso improved user satisfaction by introducing motion and speech control basedon system utterances and user situations. In the preliminary round, our systemwas ranked fifth in the impression evaluation and sixth in the plan evaluationamong all 12 teams.

Enhancing Consistency in Multimodal Dialogue System Using LLM with Dialogue Scenario