Abstract This paper explores the interplay between affect and musical engagement, drawing on psychological theories and empirical studies. We propose extending this exploration into telematic music, investigating the potential for creating an emotional AI collaborator. The study aims to compile a dataset for machine learning by converting physiological responses, self-reported emotions, and musical passages. That … Continue reading J. Kerobo, I. Bukvic, “Real-Time Human Classified Emotional MIDI Dataset Integration for Symbolic Music Generation,” ICMLA 2024, 2024, Miami, Florida.