Music Affect Data Collection App

Mobile Development

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.

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Name Description
Design Document Initial design document for the application created during the research and planning stage of development.   Download
Source Code Full source code, including both the application and AWS code.   Link