Associating Emoticons with Musical Genres

Jukka Holm, Harri Holm, and Jarno Seppänen

Proceedings of the International Conference on New Interfaces for Musical Expression

Abstract

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.

Citation

Jukka Holm, Harri Holm, and Jarno Seppänen. 2010. Associating Emoticons with Musical Genres. Proceedings of the International Conference on New Interfaces for Musical Expression. DOI: 10.5281/zenodo.1177809

BibTeX Entry

@inproceedings{Holm2010,
 abstract = {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. },
 address = {Sydney, Australia},
 author = {Holm, Jukka and Holm, Harri and Sepp\''{a}nen, Jarno},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1177809},
 issn = {2220-4806},
 keywords = {Music, music recommendation, context, facial expression, mood, emotion, emoticon, and musical genre.},
 pages = {383--386},
 title = {Associating Emoticons with Musical Genres},
 url = {http://www.nime.org/proceedings/2010/nime2010_383.pdf},
 year = {2010}
}