2022/03/24 by Frank Heyen, Heyen, Frank, Quynh Quang Ngo +5
Computer Science · #Data Visualization and Analytics #FOS: Computer and information sciences #Graphics (cs.GR) #Human-Computer Interaction (cs.HC) #Music Technology and Sound Studies #Music and Audio Processing #cs.GR #cs.HC
paper · pdf · doi:10.48550/arxiv.2203.13320
CHI 2022 IMI Workshop https://teamdarmstadt.de/imi/
arxiv created 2022/03/24 · openalex publication_date 2022/03/24 · arxiv updated 2022/03/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose a data-driven approach to music instrument practice that allows studying patterns and long-term trends through visualization. Inspired by life logging and fitness tracking, we imagine musicians to record their practice sessions over the span of months or years. The resulting data in the form of MIDI or audio recordings can then be analyzed sporadically to track progress and guide decisions. Toward this vision, we started exploring various visualization designs together with a group of nine guitarists, who provided us with data and feedback over the course of three months.