IdeaHound: Self-sustainable Idea Generation in Creative Online Communities

作者: Pao Siangliulue , Joel Chan , Bernd Huber , Steven Dow , Krzysztof Gajos

DOI: 10.1145/2818052.2874335

关键词: Space (commercial competition)Knowledge managementIdeationHuman computationComputer scienceProcess (engineering)Crowds

摘要: One main challenge in large creative online communities is helping their members find inspirational ideas from a pool of ideas. A high-level approach to address this create synthesis emerging solution space that can be used provide participants with and diverse others. Existing approaches generate the either require community engage tasks detract activity generating or depend on external crowd workers help organize We built IDEAHOUND collaborative idea generation system demonstrates an alternative “organic” human computation approach, where (rather than crowds) contribute feedback about as byproduct naturally integrates into ideation process. This turn helps identify prompt more high-quality

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