An internet-scale idea generation system

  • Authors:

  • Lixiu Yu;Jeffrey V. Nickerson

  • Affiliations:

  • Carnegie Mellon University, Pittsburgh, PA;Stevens Institute of Technology, Hoboken, NJ

  • Venue:
  • ACM Transactions on Interactive Intelligent Systems (TiiS) - Special section on internet-scale human problem solving and regular papers
  • Year:
  • 2013

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Abstract

A method of organizing the crowd to generate ideas is described. It integrates crowds using evolutionary algorithms. The method increases the creativity of ideas across generations, and it works better than greenfield idea generation. Specifically, a design space of internet-scale idea generation systems is defined, and one instance is tested: a crowd idea generation system that uses combination to improve previous designs. The key process of the system is the following: A crowd generates designs, then another crowd combines the designs of the previous crowd. In an experiment with 540 participants, the combined designs were compared to the initial designs and to the designs produced by a greenfield idea generation system. The results show that the sequential combination system produced more creative ideas in the last generation and outperformed the greenfield idea generation system. The design space of crowdsourced idea generation developed here may be used to instantiate systems that can be applied to a wide range of design problems. The work has both pragmatic and theoretical implications: New forms of coordination are now possible, and, using the crowd, it is possible to test existing and emerging theories of coordination and participatory design. Moreover, it may be possible for human designers, organized as a crowd, to codesign with each other and with automated algorithms.