This paper describes the dialog robot system designed by Team Irisapu for the
preliminary round of the Dialogue Robot Competition 2023 (DRC2023). In order to
generate dialogue responses flexibly while adhering to predetermined scenarios,
we attempted to generate dialogue response sentences using OpenAI's GPT-3. We
aimed to create a system that can appropriately respond to users by dividing
the dialogue scenario into five sub-scenarios, and creating prompts for each
sub-scenario. Also, we incorporated a recovery strategy that can handle
dialogue breakdowns flexibly. Our research group has been working on research
related to dialogue breakdown detection, and we incorporated our findings to
date in this competition. As a result of the preliminary round, a bug in our
system affected the outcome and we were not able to achieve a satisfactory
result. However, in the evaluation category of "reliability of provided
information", we ranked third among all teams.

本研究论文描述的是 Irisapu 团队为 2023 年对话机器人竞赛（DRC2023）制定的对话机器人系统。我们尝试使用 OpenAI 的 GPT-3 生成灵活的对话回复句子，以预定的情景为依据，通过将对话情景划分为五个子情景并为每个子情景创建提示，实现对用户的适当回应。此外，我们还结合了我们之前关于对话故障检测的研究成果，并在竞赛中使用。尽管在初赛中我们的系统出现了错误，影响了结果，未能达到令人满意的成绩，但在 “提供信息的可靠性” 评估类别中，我们在所有团队中排名第三。