Interactive Rainbow Score: A Visual-centered Multimodal Flute Tutoring System
Daniel Chin, Yian Zhang, Tianyu Zhang, Jake Zhao, Gus G. Xia

TL;DR
This paper introduces Interactive Rainbow Score, a visual-centered multimodal flute tutoring system that enhances sight-reading skills through real-time interaction, significantly improving learning efficiency.
Contribution
It presents a novel interactive visual system for music learning that emphasizes early-stage interaction to improve general musical skill acquisition.
Findings
Interactive feature increases learning efficiency by 31.1%.
Early interaction application is critical for effective learning.
System aids in generalizing skills to new music pieces.
Abstract
Learning to play an instrument is intrinsically multimodal, and we have seen a trend of applying visual and haptic feedback in music games and computer-aided music tutoring systems. However, most current systems are still designed to master individual pieces of music; it is unclear how well the learned skills can be generalized to new pieces. We aim to explore this question. In this study, we contribute Interactive Rainbow Score, an interactive visual system to boost the learning of sight-playing, the general musical skill to read music and map the visual representations to performance motions. The key design of Interactive Rainbow Score is to associate pitches (and the corresponding motions) with colored notation and further strengthen such association via real-time interactions. Quantitative results show that the interactive feature on average increases the learning efficiency by…
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Taxonomy
TopicsTactile and Sensory Interactions · Music Technology and Sound Studies · Neuroscience and Music Perception
