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Exploring multimodal collaborative storytelling with Pepper: a preliminary study with zero-shot LLMs.

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Summary

This study explores collaborative storytelling with social robots using large language models (LLMs). The novel system integrates physical objects and expressive robot performances, showing high user acceptance for interactive narratives.

Keywords:
collaborative storytellinggesture generationhuman-robot interactionsocial roboticszero-shot LLM

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Area of Science:

  • Human-Robot Interaction
  • Artificial Intelligence
  • Natural Language Processing

Background:

  • Large language models (LLMs) are increasingly used in virtual agents for collaborative storytelling.
  • The integration of LLMs into social robotics for storytelling remains underexplored.
  • Storytelling is a traditional method for social robots to engage audiences.

Purpose of the Study:

  • To present initial steps for a novel multimodal collaborative storytelling system.
  • To investigate the use of LLMs for autonomous story generation and adaptation.
  • To assess the usability and maturity of LLMs in interactive storytelling with social robots.

Main Methods:

  • Developed a multimodal system where users co-create stories with the social robot Pepper.
  • Utilized a YOLO-based vision system for object recognition and narrative integration.
  • Employed the Llama model for zero-shot story generation and adaptation.
  • Enhanced immersion through expressive gestures, emotional cues, and speech modulation by the robot.

Main Results:

  • The system successfully integrates user-provided physical objects into the narrative.
  • The Llama model autonomously generated and adapted stories in a zero-shot setting.
  • The social robot Pepper performed stories with expressive non-verbal and verbal cues.
  • User feedback indicated a high level of acceptance for the collaborative storytelling system.

Conclusions:

  • LLMs show promise for autonomous story generation in human-robot interaction.
  • Multimodal input, including physical objects, enhances collaborative storytelling experiences.
  • Expressive robot performances are crucial for increasing immersion and user acceptance in interactive narratives.