Personal vs. commercial content: the similarities between consumer use of photos and music
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluating SuperMusic: streaming context-aware mobile music service
ACE '08 Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
Hands on music: physical approach to interaction with digital music
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Sound Moves: iPod Culture and Urban Experience
Sound Moves: iPod Culture and Urban Experience
Observing the mobile music phenomenon: one in nine commuters is wired
Proceedings of the 8th ACM Conference on Designing Interactive Systems
"I'll press play, but I won't listen": profile work in a music-focused social network service
Proceedings of the ACM 2011 conference on Computer supported cooperative work
The organization of home media
ACM Transactions on Computer-Human Interaction (TOCHI)
Next step in electronic brainstorming: collaborative creativity with the web
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Proxemic interaction in a multi-room music system
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
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The ubiquity of music consumption is overarching. Statistics for digital music sales, streaming video videos, computer games, and illegal sharing all speak of a huge interest. At the same, an incredible amount of data about every day interactions (sales and use) with music is accumulating through new cloud services. However, there is an amazing lack of public knowledge about everyday music interaction. This panel discusses the state of music interaction as a part of digital media research. We consider why music interaction research has become so marginal in HCI and discuss how to revive it. Our two discussion themes are: orientation towards design vs. research in music related R&D, and the question if and how private, big data on music interactions could enlighten our understanding of ubiquitous media culture.