Music for activities

Themes: Software technology & Intelligent Systems

Proof of principle

A TRL is a measure to indicate the matureness of a developing technology. When an innovative idea is discovered it is often not directly suitable for application. Usually such novel idea is subjected to further experimentation, testing and prototyping before it can be implemented. The image below shows how to read TRL’s to categorise the innovative ideas.

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Current music recommendation engines focus heavily on content that users obviously like. However, when music will be consumed as part of an activity, other content relevance criteria may become necessary.


We use interdisciplinary data science to investigate what social and content-based features indicate appropriateness of songs for a given context or activity, and their effectiveness over time.


We want to enable services that automatically stream songs that will support the user in a specific activity, explicitly daring to look beyond a user’s expressed taste profile.

Dr. Cynthia Liem Mmus


Karthik Yadati MSc

Andrew Demetriou MSc

Prof. dr. Martha Larson

Prof. dr. Alan Hanjalic