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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Verbosity: a game for collecting common-sense facts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Computer
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Design and development of a semantic music discovery engine
Design and development of a semantic music discovery engine
Semantic Annotation and Retrieval of Music and Sound Effects
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Proceedings of the ACM SIGKDD Workshop on Human Computation
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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We present "Herd It", a competitive, online, multi-player game that has the implicit benefit of collecting tags for music. We describe Herd It's user-centered design process and demonstrate that the game can collect both musical and social data. This data can be used to build machine learning models that automatically associate music with tags. Herd It differs from previous "games with a purpose" in that it is designed to be social: the game runs on the Facebook online social network and scoring is based on consensus between a large group of listeners - "the Herd". By presenting music in a social context, Herd It adds demographic context to the semantic music descriptions that it collects.