JSAI2024

Presentation information

Organized Session

Organized Session » OS-32

[1T3-OS-32a] OS-32

Tue. May 28, 2024 1:00 PM - 2:40 PM Room T (Room 62)

オーガナイザ:大澤 博隆(慶應義塾大学)、宮田 龍(株式会社アラヤ)、西中 美和(香川大学)

1:20 PM - 1:40 PM

[1T3-OS-32a-02] A Robot Sharing Narratives

Narrative Generation through a Large-Scale Language Model Facilitated by Conversational Robots Enabling Human Participation

〇Mayu Omichi1, Hideyuki Takahashi1,2, Midori Ban1, Takamasa Iio3, Yohei Yanase4, Hiroshi Ishiguro1,2 (1. Osaka University, 2. Advanced Telecommunications Research Institute International, 3. Doshisha University, 4. Unity Technologies Japan)

Keywords:Large Language Models, Communication Robot, Narrative Generation

This study examines whether robots equipped with backstories created using LLM can maintain human interest through dialogue. In the present system, the robot not only has its backstory and develops it using LLM, but also interacts with humans based on the content of the backstory and generates a story based on feedback obtained from the human in the interaction. In this presentation, we will report the results of our verification through evaluations by dialogue participants and third parties to see if developing such a system that allows users to be involved in the generation of the robot's backstory can contribute to sustaining interest in the robot.

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