Collaborators on the Cyborg Synchrony publication.
Faculty: Jason Snell, Collabortive Arts
A collaborative publication between Jason Snell and Senaida Ng, "Cyborg Synchrony" explores a framework for an interpersonal musical biofeedback system that utilizes physiological synchrony (a known correlate of social bonding) through shared musical interaction. The proposed AI model operates in two stages: (1) a Foundational Model trained on a diverse dataset of listeners’ physiological responses to a broad range of music, and (2) Individualized Tuning, where the system adapts to each user’s unique biometric patterns.
By continuously analyzing musical features and real-time physiological feedback, the system generates personalized soundscapes that align participants’ inner rhythms, creating shared embodied experiences. In interpersonal use, the system can evoke empathy by translating one person’s emotional state into sound that another can feel. Through this, AI may become a conduit for emotional attunement, mutual understanding, and new forms of musical connection between people.
This work has been published on Frontiers in Computer Science. Read the article here.