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arXiv · 2609.17335

LumiNote: LLM-Assisted Multimodal Instruction for VR Stage Lighting Education

Danxuan Liang·Chun Yin Li·Zheng Wei·Xian Xu·Meng Xia·Huamin Qu·Wai Tong
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Abstract

Stage lighting education requires instructors to bridge abstract concepts, technical operations, and learner-understandable representations. While Virtual Reality (VR) removes physical constraints, existing systems provide limited support for live instruction. We present LumiNote, an LLM-assisted VR system that transforms spoken pedagogical intent into instructor-reviewable spatial annotations, executable demonstrations, and linguistic support. In an exploratory study with 3 instructors and 24 students, we examined how instructors incorporated LumiNote into familiar lighting topics and how students received the resulting representations. We found LLM assistance most valuable for expressive, under-specified goals, but requiring greater expert intervention for fixture-specific or spatial configuration requests. Instructors engaged with generated suggestions as a controllable refinement process, shifting effort from manual setup toward pedagogical expression. However, representations that externalized expert reasoning did not always align with novice comprehension. These findings characterize LLM-assisted VR instruction as a domain-grounded mediation process among expert expression, executable operations, and learner-facing representations.

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Danxuan Liang, Chun Yin Li, Zheng Wei, Xian Xu, Meng Xia, Huamin Qu, Wai Tong. 2026-09-15. LumiNote: LLM-Assisted Multimodal Instruction for VR Stage Lighting Education. https://arxiv.org/abs/2609.17335

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