From Text to Movement: LLM-driven Swarm User Interfaces for Embodied and Interactive Storytelling

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Authors: Ruhan Wang, Shuowen Li, Peiran Zhang, Danqi Huang, Yijie Guo, Haipeng Mi
Cited by: 1
References: 35

Abstract

This paper introduces PuppetLine, an interactive storytelling system that translates natural language narratives into coordinated performances using tabletop robots. The system combines large language models with a constrained set of action and emotion primitives to generate physically executable and interpretable multi-robot motions. We describe the system design and report findings from a designer-centered user study examining how people interpret and reflect on robot enactments. The results provide formative insights into mapping narrative intent to embodied interaction and inform the design of narrative Swarm User Interfaces.

Fields of Study & Subjects

Social Robot Interaction and HRI Human Motion and Animation Action Observation and Synchronization

Publication details

Journal / source
Proceedings of the 31st International Conference on Intelligent User Interfaces
Publisher
ACM
Pages
1085–1099
Publication date
3 March 2026