2011/10/06 by Joris H. Janssen, Egon L. van den Broek, Joyce H. D. M. Westerink · 1 citation
Psychology · Neuroscience · Mathematics · #Emotion and Mood Recognition #Neuroscience and Music Perception #Color perception and design #Computer science #Mood #Affective computing #Active listening #Affect (linguistics) #Biosignal #Kernel density estimation #Cognitive psychology #Speech recognition #Psychology #Artificial intelligence #Communication #Social psychology #Mathematics
paper · pdf · doi:10.1007/s11257-011-9107-7
openalex publication_date 2011/10/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
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.