  Brainstorming is an effective technique for offline ideation although the
number of participants able to join an ideation session and suggest ideas is
limited. To increase the diversity and quality of the ideas suggested, many
participants with various backgrounds should be able to join the session. We
have devised an evolutionary computation-assisted brainwriting method for
large-scale online ideation. In this method, participants not only suggest
ideas but also evaluate ideas previously suggested by other participants. The
evaluation results are used in the evolutionary computation to identify good
ideas to which the participants can be exposed via a brainwriting-like
interface. We compared the performance of the proposed method with that of a
simple online brainwriting method for large-scale online ideation with more
than 30 participants. The proposed method enhanced robustness of idea quality
improvement due to preferentially exposing the participants to good ideas.
