What is the purpose of the experiment?
Throughout the day people listen to different types of music. We have developed a neural network that classifies playlists to different times of the day. You can read more about this in our scientific publication here.
Who is running this experiment?
This experiment is run by the Center for Music in the Brain at Aarhus University, Denmark. The researchers working on this project are Ole Adrian Heggli, Jan Stupacher, and Peter Vuust.
What do we collect?
We collect the Spotify ID of your playlist and the tracks in your playlist, your response to whether you agree with our classification or not, and any free text you input in a question about your mood when listening to a playlist. In addition we assign you a unique identifier that is kept the same for your visit. We do not collect any form of personally identifiable information. Logging in is handled through Spotify's webpages, and we never gain access to your password.
GDPR compliance.
We store an authorization code received from Spotify, that will allow you to select different playlists multiple times. In addition we only store strictly necessary cookies, meaning it comply with the GDPR ePrivacy Directive. All information collected is strictly anonymized.
What will you do with the data?
We will use the data we collect for research purposes, such as using it for analyses to be reported in scientific publications, and making it public for other researchers to use.
How does it work?
We have used a large dataset of listening behaviour from Spotify to identify times of the day when people listen to distinct types of music, as defined by the auditory features of the music. These auditory features are used to train a neural network that classifies which time of the day a track is most likely to belong to. When you use our app, we take auditory features from the tracks in your playlist and use the neural network to classify your playlists. We use Tensorflow for the neural network, and the Spotify API for getting auditory features of the music.
Where did you get the illustrations?
We adapted illustrations by Américo Almeida from pixabay.com.
Who do I contact if I have any questions?
For any questions contact Ole Adrian Heggli.
