In the Mood: Tagging Music with Affects

  • Authors:
  • Jörn Loviscach;David Oswald

  • Affiliations:
  • Hochschule Bremen, Fachbereich Elektrotechnik und Informatik, Bremen, Germany 28199;Hochschule Bremen, Fachbereich Elektrotechnik und Informatik, Bremen, Germany 28199

  • Venue:
  • Affect and Emotion in Human-Computer Interaction
  • Year:
  • 2008

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Abstract

Music and mood carry a strong relationship, which is employed very effectively by classical music, Hollywood's soundtracks, and pop bands. Affective computing can provide support in selecting music that fits to a given mood. We describe a system that addresses a full range of functionality. It allows the user to semi-automatically tag music with mood descriptions, determines mood from sensors or from the state of a computer game, and plays appropriate music.