Start Date
13-12-2021 11:10 AM
Description
Despite the increased popularity and ease of listening to music, with Spotify boasting over 300 million active users and growing, very little research has been done on analysing listener data and habits. While some services display data like top artists and listeners from Spotify, there is still much more that can be done. I want to help Spotify users look at how their listening preferences have changed over time to better establish a connection between listening habits and different life circumstances. To do so, I will be looking at the top tracks over three different time periods in the user’s life and using those to get a sense of the average mood of the music they listened to during that period. I will be displaying this data to the user as a gradient, with colors assigned to the moods of each period, to provide a fun and informative infographic to the user. I hope to find that changes in the mood of the music one listened to over time will reflect changes in their life, establishing a correlation between listener habits and reality and generating more interest in the field.
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Using Music to Show Personal Change Over Time
Despite the increased popularity and ease of listening to music, with Spotify boasting over 300 million active users and growing, very little research has been done on analysing listener data and habits. While some services display data like top artists and listeners from Spotify, there is still much more that can be done. I want to help Spotify users look at how their listening preferences have changed over time to better establish a connection between listening habits and different life circumstances. To do so, I will be looking at the top tracks over three different time periods in the user’s life and using those to get a sense of the average mood of the music they listened to during that period. I will be displaying this data to the user as a gradient, with colors assigned to the moods of each period, to provide a fun and informative infographic to the user. I hope to find that changes in the mood of the music one listened to over time will reflect changes in their life, establishing a correlation between listener habits and reality and generating more interest in the field.
Comments
Mentor: John David N. Dionisio