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

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

A Mulit-systemic school-based approach for addressing childhood aggression

School-based approaches to addressing aggression in the early grades have focused on explicit curriculum addressing social and emotional processes. The current study reviews research on the distinct modes of aggression, the status of current research on social and emotional processing relevant to problems of aggression amongst young children, as well as the social-relationship processes that occur in schools that hold transformative potential for children\u27s aggression and behavioural development. A framework incorporating peer-to-peer, teacher–child, and teacher-parent relationship components within a social–emotional curriculum is outlined to inform a multisystemic approach to addressing young children\u27s aggression