My role on the project: Interaction design
Collaborators: Mauricio Desari (Interaction design), Glaubert Souza (Motion design), Anderson Schimuneck (Visual design), Francimar Maciel (Usability research), Tamara Baia (Usability research)
Platform: MeeGo OS, v1.2 Harmattan
Mobile: Nokia N9
Microsoft research publication: http://research.microsoft.com/apps/pubs/default.aspx?id=204231
Music listening is a very personal and situational behaviour, which suggests that contextual information could be used to greatly enhance music recommendation experience. However, making such use of mobile context, while learning user profiles, is a challenging problem.
This mobile application developed for Nokia N9 is a system for collecting context and usage data from mobile devices, but targeted at recommending music via unsupervised learning of user profiles and relevant situations. The developed data flow system supports both short enough response times and longer asynchronous reasoning on the collected data; furthermore, the mobile phone acts not only as sensor, but the mobile app is directly tied to the effectiveness of the music service user experience (UX).
I had the opportunity to work on this project as an Interaction designer with Mauricio Desari. Together, we developed an fun UI for music lovers, giving to then a intuitive and interesting application.