MusiCube: A Visual Interface for Music Selection Featuring Interactive Evolutionary Computing

We often want to select tunes based on our purposes or situations. For example, we may want background music for particular spaces. We think interactive evolutionary computing is a good solution to adequately recommend tunes based on users' preferences. This paper presents MusiCube, a visual interface for music selection. It applies interactive genetic algorithm in a multi-dimensional musical feature space. MusiCube displays a set of tunes as colored icons in a 2D cubic space, and provides a user interface to intuitively select suggested tunes. This paper presents a user experience that MusiCube adequately represented clouds of icons corresponding to sets of users' preferable tunes in the 2D cubic space.