IdeaGens: A Social Ideation System for Guided Crowd Brainstorming

Authors

  • Joel Chan Carnegie Mellon University
  • Steven Dang Carnegie Mellon University
  • Peter Kremer University of Rochester
  • Lucy Guo Carnegie Mellon University
  • Steven Dow Carnegie Mellon University

DOI:

https://doi.org/10.1609/hcomp.v2i1.13140

Keywords:

Crowdsourcing, Human computation, Collaboration, Creativity, Facilitation

Abstract

Many crowd ideation systems seek to gather scores of ideas from people online. However, this often leads to many bad ideas and duplication. A dedicated facilitator who guides exploration of the solution space is a common and effective strategy for optimizing ideation in face-to-face brainstorming, but has not yet been explored in computer-supported crowd ideation. We introduce IdeaGens, a social ideation system for guided crowd brainstorming. IdeaGens divides the crowd into ideation and synthesis tasks, and enables efficient data-driven facilitation of the crowd’s ideation. This work can inform general strategies for shepherding the crowd to produce better results for complex collaborative tasks.

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Published

2014-09-05

How to Cite

Chan, J., Dang, S., Kremer, P., Guo, L., & Dow, S. (2014). IdeaGens: A Social Ideation System for Guided Crowd Brainstorming. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2(1), 67–68. https://doi.org/10.1609/hcomp.v2i1.13140