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Team Irisapu Project Description for DRC2023 (2312.13765v1)

Published 21 Dec 2023 in cs.RO and cs.AI

Abstract: 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.

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References (6)
  1. T. Minato, R. Higashinaka, K. Sakai, T. Funayama, H. Nishizaki and T. Nagai, “Overview of Dialogue Robot Competition 2023,” Proc. of the Dialogue Robot Competition 2023, 2023.
  2. T. Minato, R. Higashinaka, H. Nishizaki, T. Nagai, K. Sakai and T. Funayama, “Overview of Dialogue Robot Competition 2022, ” Proc. of the Dialogue Robot Competition 2022, 2022.
  3. T. Minato, R. Higashinaka, K. Sakai, T. Funayama, H. Nishizaki and T. Nagai, “Design of a competition specifically for spoken dialogue with a humanoid robot”, Advanced Robotics, vol.37, no.21, pp.1349-1363, 2023.
  4. K. Tsubokura, F. Kishi, K. Narita, T. Takeda and Y. Iribe, “Hospitable Travel Agent Dialogue Robot: Team Irisapu Project Description for DRC2022,” Proc. of the Dialogue Robot Competition 2022, Oct. 2022.
  5. H. Sugiyama, “Dialogue breakdown detection using BERT with traditional dialogue features,” Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th International Workshop on Spoken Dialogue Systems, pp.419-427, 2021.
  6. K. Tsubokura, Y. Iribe and N. Kitaoka, “Dialog Breakdown Detection using Multimodal Features for Non-task-oriented Dialog Systems,” 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), 2022.
Citations (1)

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