Yan, ZheYu, BorouWang, ZeyuCeylan, DuyguLi, Tzu-Mao2025-05-092025-05-092025978-3-03868-268-41017-4656https://doi.org/10.2312/egs.20251046https://diglib.eg.org/handle/10.2312/egs20251046This paper introduces LabanLab, a novel choreography system that facilitates the creation of dance notation with motion preview. LabanLab features an interactive interface for creating Labanotation staff coupled with visualization of corresponding movements. Leveraging large language models (LLMs) and text-to-motion frameworks, LabanLab translates symbolic notation into natural language descriptions to generate lifelike character animations. As the first web-based Labanotation editor with motion synthesis capabilities, LabanLab makes Labanotation an input modality for multitrack human motion generation, empowering choreographers with practical tools and inviting novices to explore dance notation interactively.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Animation; Human-centered computing → Web-based interaction; Applied computing → Arts and humanitiesComputing methodologies → AnimationHumancentered computing → Webbased interactionApplied computing → Arts and humanities10.2312/egs.202510464 pages