Embodied Calligraphy Learning through Direct Kinesthetic Feedback

Symposium on Computational Fabrication (SCF)(2022)

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摘要
Crafts such as writing calligraphy require not only arduous practices to achieve mastery but also emphasize an individual’s expression through the practice. Calligraphy learning traditionally involves observing and copying expert manuscripts where learners obtain muscle control through repetitive practices. Learners often rely on comparing the visual differences in the output and adjust until they have achieved similar results. We propose a system that engages a calligraphy learner or audience with an actuated brush that reflects the movement of the artist during writing. We describe the details of the design of the system and interaction scenarios, insights gathered from public showcases on aspects such as agency, and the next steps for constructing a movement database.
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