« entrain » is an adaptive agent that stimulates social interaction in co-located mobile music-making.
It rewards mobile players with audiovisual effects depending on their individual musical behaviour. An active learning framework, called Bayesian Information Gain, is used to dynamically adapt the rewarding criteria based on the collective musical behavior.
The project was developed with Abby Wanyu Liu, Benjamin Matuszewski, and Frédéric Bevilacqua in collaboration with the ISMM group of IRCAM, as well as Jean-Louis Fréchin and Uros Petrevski from Nodesign.net, and Norbert Schnell from Collaborative Mobile Music Lab of Furtwangen University, in the context of the Sorbonne Université Doctorate in Computing.
Installation at ACM SIGGRAPH 2019 Studio
Available on GitHub