Evolutionary Computation-Assisted Brainwriting for Large-Scale Online Ideation
This addresses the need for more diverse and high-quality ideas in large-scale online brainstorming sessions, though it appears incremental as it builds on existing brainwriting methods.
The paper tackled the problem of limited participation and idea quality in brainstorming by proposing an evolutionary computation-assisted brainwriting method for large-scale online ideation, which enhanced robustness of idea quality improvement by preferentially exposing participants to good ideas.
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.