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.
翻译:集思广益是一种有效的离线思维技术,尽管能够参加构想会议并提出想法的参与者人数有限。为了增加所提出想法的多样性和质量,许多具有不同背景的参与者应当能够参加会议。我们已经为大规模在线构想设计了一个渐进式的计算辅助脑写法。在这个方法中,参与者不仅提出想法,而且还评价其他参与者先前提出的想法。在渐进式计算中,将评价结果用于确定参与者可以通过类似脑写作的界面接触到的好想法。我们将拟议方法的性能与大规模在线构想的简单在线脑写脑方法的性能进行了比较,有30多名参与者参加。拟议方法提高了想法质量改进的稳健性,因为与会者会优先接触到良好的想法。