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.

翻译：本文介绍了Team Irisapu为对话机器人竞赛2023（DRC2023）初赛设计的对话机器人系统。为了在遵循预定场景的同时灵活生成对话响应，我们尝试使用OpenAI的GPT-3生成对话响应语句。通过将对话场景划分为五个子场景，并为每个子场景创建提示，我们旨在构建一个能够适当响应用户的系统。此外，我们纳入了一种灵活处理对话中断的恢复策略。我们的研究团队一直从事与对话中断检测相关的研究，并在本次竞赛中应用了迄今的发现。初赛结果显示，系统中的一个漏洞影响了我们的表现，未能取得满意结果。然而，在"提供信息可靠性"评估类别中，我们在所有团队中排名第三。