Personalized Music Playlist Generation Method Based on Personal Impression and Pleasure

Abstract

This study proposes a method for the automatic design of personalized playlists that places a listener in a positive mood (uplifting or relaxing feelings) based on individual’s impressions and pleasurable feelings of audio tracks. This study investigated the changes in a listener’s mood before and after listening to personal impression playlists, and personal impression and personal or common pleasure playlists using a psychological scale. Consequently, the playlists based on personal or common pleasure can shift a person into a positive mood while increasing a person’s friendly emotion.