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}
}