Music Affect Data Collection App

Published 6/9/2023

Description:

The Music Affect Data Collection mobile application is a crowdsourcing solution to the problem of collecting emotional response data for a wide variety of music from a large sample of individuals. The app allows any user to listen to a song of their choosing through Spotify and report their emotional response to that song via a standardized valence-arousal affect model. This anonymized response data is then sent to a cloud database, where it is stored along with other crowdsourced responses for later analysis. The data produced by this app could be used as a model for automatically building mood-based playlists, refining recommendation algorithms, or identifying ideal songs for unique scenarios, among many other applications.

Team Members

  • Team member portrait
    Michael Murad

    2023

    Michael Murad

    B.S. Computer Science

  • Team member portrait
    Mia Bilka

    2023

    Mia Bilka

    B.S. Computer Science

  • Team member portrait
    Chris Somnitz

    2023

    Chris Somnitz

    B.S. Computer Science

Website:
https://eecs.engineering.oregonstate.edu/project-showcase/projects/?id=meBQME6bWh9pNgJR