Associating Emoticons with Musical Genres

Holm, Jukka and Holm, Harri and Seppänen, Jarno

Proceedings of the International Conference on New Interfaces for Musical Expression

Music recommendation systems can observe user’s personal preferences and suggest new tracks from a large online catalog. In the case of context-aware recommenders, user’s current emotional state plays an important role. One simple way to visualize emotions and moods is graphical emoticons. In this study, we researched a high-level mapping between genres, as descriptions of music, and emoticons, as descriptions of emotions and moods. An online questionnaire with 87 participants was arranged. Based on the results, we present a list of genres that could be used as a starting point for making recommendations fitting the current mood of the user.