Learning Hanzi Character Through VR-Based Mortise-Tenon

Conglin Ma; Jiatong Li; Sen-Zhe Xu; Ju Dai; Jie Liu; Feng Zhou

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arXiv · 2510.11264

Learning Hanzi Character Through VR-Based Mortise-Tenon

Conglin Ma·Jiatong Li·Sen-Zhe Xu·Ju Dai·Jie Liu·Feng Zhou

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Abstract

This paper introduces a novel VR-based system that redefines the acquisition of Hanzi character literacy by integrating traditional mortise-tenon joinery principles (HVRMT).Addressing the challenge of abstract character memorization in digital learning,our system deconstructs Hanzi components into interactive "structural radicals"akin to wooden joint modules.Leveraging PICO's 6DoF spatial tracking and LLM's morphological analysis,learners assemble stroke sequences with haptic feedback simulating wood-to-wood friction.Our system also supports multiplayer online experiences, enhancing engagement and memory retention while preserving intangible cultural heritage. This innovative approach not only enhances engagement and memory retention but also reconstructs the craft wisdom embedded in Chinese writing systems, offering new pathways for preserving intangible cultural heritage in digital ecosystems.For the demo,please refer to this link{https://youtu.be/oUwfFTRpFyo}.

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Conglin Ma, Jiatong Li, Sen-Zhe Xu, Ju Dai, Jie Liu, Feng Zhou. 2025-10-13. Learning Hanzi Character Through VR-Based Mortise-Tenon. https://arxiv.org/abs/2510.11264

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