Evaluating Human Interaction with MMM: A Creative AI System for Music Composition

Although research focusing on developing AI-based systems is well established, research which investigates the user-experience of persons who interact with these systems is still in its early stages. This developing field will continue to be an important area of research, as AI-based systems are increasingly being integrated into various workflows across all disciplines. Our research focuses on the integration of a generative music system into the Cubase Digital Audio Workstation, which will allow users to collaboratively compose music with the system. Through an experimental study, we will evaluate the user-experience of musicians working with the system to compose music. This research will directly benefit the partner organization, as it will investigate the merits of bringing such a system into production.

Intern: 
Jeffrey Ens
Faculty Supervisor: 
Philippe Pasquier
Province: 
British Columbia
Partner University: