π€ AI Summary
This study addresses the challenge music learners face in identifying subtle patterns and errors in their own performance due to a lack of effective feedback mechanisms. To bridge this gap, the authors propose a design philosophy of βmaking the inaudible visible,β integrating music signal analysis with interactive visualization techniques. Through a user-centered design process, they systematically explored 33 visualization strategies tailored to diverse instruments, skill levels, and musical attributes, and derived generalizable design principles. The development involved 18 musicians, and the resulting visualizations were evaluated by 13 learners and educators. Findings demonstrate that the proposed approach effectively supports real-time feedback and reflective practice, significantly enhancing practice efficiency, thereby offering both theoretical grounding and practical guidance for the design of intelligent music education tools.
π Abstract
We explore the potential of visualization to support musicians in instrument practice through real-time feedback and reflection on their playing. Musicians often struggle to observe patterns in their playing and interpret them with respect to their goals. Our premise is that these patterns can be made visible with interactive visualization: we can make the unhearable visible. However, understanding the design of such visualizations is challenging: the diversity of needs, including different instruments, skills, musical attributes, and genres, means that any single use case is unlikely to illustrate the broad potential and opportunities. To address this challenge, we conducted a design exploration where we created and iterated on 33 designs, each focusing on a subset of needs, for example, only one musical skill. Our designs are grounded in our own experience as musicians and the ideas and feedback of 18 musicians with various musical backgrounds and we evaluated them with 13 music learners and teachers. This paper presents the results of our exploration, focusing on a few example designs as instances of possible instrument practice visualizations. From our work, we draw design considerations that contribute to future research and products for visual instrument education. Supplemental materials are available at github.com/visvar/mila.