User Modeling and User-Adapted Interaction

, Volume 22, Issue 3, pp 255–279 | Cite as

Tune in to your emotions: a robust personalized affective music player

  • Joris H. Janssen
  • Egon L. van den Broek
  • Joyce H. D. M. Westerink
Open Access
Original paper

Abstract

The emotional power of music is exploited in a personalized affective music player (AMP) that selects music for mood enhancement. A biosignal approach is used to measure listeners’ personal emotional reactions to their own music as input for affective user models. Regression and kernel density estimation are applied to model the physiological changes the music elicits. Using these models, personalized music selections based on an affective goal state can be made. The AMP was validated in real-world trials over the course of several weeks. Results show that our models can cope with noisy situations and handle large inter-individual differences in the music domain. The AMP augments music listening where its techniques enable automated affect guidance. Our approach provides valuable insights for affective computing and user modeling, for which the AMP is a suitable carrier application.

Keywords

Mood Music Psychophysiology User modeling Kernel density estimation Validation Affective computing 

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Copyright information

© The Author(s) 2011

Authors and Affiliations

  • Joris H. Janssen
    • 1
    • 2
  • Egon L. van den Broek
    • 3
    • 4
  • Joyce H. D. M. Westerink
    • 2
  1. 1.Human Technology Interaction, Department of Industrial Engineering and Innovation SciencesEindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.Department of Brain, Body, and BehaviorPhilips ResearchEindhovenThe Netherlands
  3. 3.Human Media Interaction, Faculty of Electrical Engineering, Mathematics, and Computer ScienceUniversity of TwenteEnschedeThe Netherlands
  4. 4.Karakter U.C., Radboud University Medical Center NijmegenNijmegenThe Netherlands

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