Peekaboom: a game for locating objects in images
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing games with a purpose
Communications of the ACM - Designing games with a purpose
User-centered design of a social game to tag music
Proceedings of the ACM SIGKDD Workshop on Human Computation
Improving music emotion labeling using human computation
Proceedings of the ACM SIGKDD Workshop on Human Computation
Little search game: term network acquisition via a human computation game
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
CMMR'10 Proceedings of the 7th international conference on Exploring music contents
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Quantity of music metadata on the Web is sufficient, music recommendation and online repository systems are proof of it. However, it became a real challenge to keep quality of these metadata at reasonable level as the cost of manual validation is too high and current automatic approaches are inaccurate. In this paper we present a game with a purpose called City Lights -- a music metadata validation approach which lowers the cost of human computation and makes the validation fun. Our goal is to get rid of incorrect user-submitted music tags or tags not usable at global scale. We describe the game principles and evaluate the game results.