Evaluating Human-AI Interaction in Computer-Assisted Music Composition with MMM-Cubase v2

Are you interested in music-making and AI technology?

The Metacreation Lab for Creative AI at Simon Fraser University (SFU), is conducting a research study in partnership with Steinberg Media Technologies GmbH. We are testing and evaluating MMM-Cubase v2, a creative AI system for assisting composing music. The system is based on our best music transformer, the multitrack music machine (MMM), which can generate, re-generate or complete new musical content based on existing content.

There is no prerequisite for this study beyond a basic knowledge of DAW and MIDI. So everyone is welcome even if you do not consider yourself a composer, but are interested in trying the system. The entire study should take you around 3h, and you must be 19+ years. Basic interest and familiarity with digital music composition will help, but no experience with making music is required. 

We seek to better evaluate the potential for adoption of such systems for novice/beginner as well as for seasoned composers. More specifically, you will be asked to install and use the system to compose a short 4-track musical composition and to fill out a survey questionnaire at the end.

Participation in this study is rewarded with one free Steinberg software license of your choice among Cubase Element, Dorico Element or Wavelab Element. 

For any question or further inquiry, please contact researcher Renaud Bougueng Tchemeube directly at rbouguen@sfu.ca.

Previous
Previous

Evaluating Human-AI Interaction in Computer-Assisted Music Composition with Calliope

Next
Next

Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition