Διαδραστικό εργαλείο οπτικοποίησης μουσικών στατιστικών με το Spotify API
Interactive music stats visualization tool using the Spotify API
Keywords
Μουσική ; Προσωποποίηση ; Οπτικοποίηση ; Spotify API ; Εμπειρία χρήστη ; Music ; Personalization ; Visualization ; User experience ; ASP.NETAbstract
In an era of rapid advancements in virtual and augmented reality technologies, as well as the exponential growth of the video game industry, people are seeking new, creative ways to express their personality and interests within online and virtual environments. Music is one of the most direct and authentic forms of expressing personal preferences, emotions, and individual identity.
This thesis attempts to bridge creative design with technical implementation, offering an innovative, interactive, and fully personalized user experience. Through the visualization of their musical preferences — such as favorite songs, top artists, and dominant music genres — the user is invited to discover a unique digital "room" that reflects their aesthetic and musical identity. The implementation was based on utilizing the Spotify Web API to retrieve personalized music data, while the application was developed using the C# language and the ASP.NET framework.