ReTouche: Embodied Representations for Self-Guided Piano Learning
Paul-Peter Arslan, Hayoun Noh, Mariana Aki Tamashiro, Louis Badr, Brianna Lebrun, Påvel G. Lindberg, Hiroshi Ishii, Xiao Xiao
摘要
Learning to play music is an embodied process, but traditional tools like scores and recordings overlook the role of gesture. While video tutorials offer visual cues, they remain detached from the instrument. We present ReTouche, an interactive system that projects synchronized notes and hand gestures directly onto the actuated keys of a player piano. The system includes a pipeline for adapting publicly available overhead-view YouTube videos and supports interactions for video-based learning, such as sectional practice, layered guidance, and self-recording. We evaluate ReTouche through a comparative structured observation study with YouTube-based self-learning (n=18), a two-week autoethnography study (n=3), and a focus group with professional piano teachers (n=4). Our findings show that embodied representations can ground self-guided piano learning by anchoring gesture, sound, and action within the instrument. Learners appropriated these representations to develop strategies and sustain motivation, while teachers saw potential for integrating ReTouche as a complement to conventional pedagogy.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
相关 Paper
- Visualising Pianists' Touch: Transcribing Expressive Piano Performance from Audio to Piano Key MotionJingjing Tang, Shinichi Furuya, Hayato Nishioka, Momoko Shioki 等CHI 2026 · 被引用 1 次
- Audeo: Audio Generation for a Silent Performance VideoKun Su, Xiulong Liu, Eli ShlizermanNeurIPS 2020 · 被引用 78 次
- Soloist: Generating Mixed-Initiative Tutorials from Existing Guitar Instructional Videos Through Audio ProcessingBryan Wang, Mengyu Yang, Tovi GrossmanCHI 2021 · 被引用 27 次
- PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano PerformanceQijun Gan, Song Wang, Shengtao Wu, Jianke ZhuICLR 2025 · 被引用 1 次
- Skill-Adaptive Ghost Instructors: Enhancing Retention and Reducing Over-Reliance in VR Piano LearningTzu-Hsin Hsieh, Cassandra Michelle Stefanie Visser, Elmar Eisemann, Ricardo MarroquimCHI 2026 · 被引用 1 次
