创意众包通过招募大众完成产品概念、平面广告等创意设计工作,是获取创意方案的重要手段。但创意众包中参与者通常为非专业设计人员,参与者资源整合不易。为此,提出一种引入均衡探索范式的创意众包进化计算方法,结合设计专家的专业能力与计算机的计算能力整合众包参与者资源。该方法依据设计认知领域中对专家行为的研究成果改进创意众包流程,使众包群体行为更接近专家的设计过程,提升产出的创意方案质量。具体的,利用专家行为的均衡探索范式,包括"持续信息引入"、"结构化探索"、"广度深度均衡探索"、"新老方案均衡探索"等行为准则,计算创意方案的进化适应度,改进进化计算中的基因编码、交叉遗传等操作,引导众包的方案进化。为验证此创意众包方法,实施了一个创意众包实例,招募252名参与者就坐姿矫正产品利用提出的方法产出三代创意方案。实例验证该方法能够扩展众包探索的设计空间,提升众包的创意方案质量。
Crowdsourcing ideation recruits crowds to complete design tasks such as product design and graphic design, acting as an important method of generating design solutions. However, crowdsourcing participants are amateurs and hard to organize. An evolutionary computation method of crowdsourcing ideation that integrates the balanced-exploration pattern is proposed in order to combine experts' competence with computers' computing capacity. This method holds the process of crowdsourcing ideation based on the study of design experts' behavior so that the crowds act as design experts, thus enhancing the quality of design solutions. Specifically, the balanced-exploration pattern summarized from the experts' behavior, including "constant information seeking", "structural exploration", "mix of breadth-first and depth-first modes of solution development", and "mix of solution-exploration and solution-review" is incorporated, the evolutionary fitness of design solutions is calculated, the coding, crossover, and mutation operations are refined, thus orienting the evolution of design solutions. To verify this method, an experiment of crowdsourcing ideation has been conducted during which 252 participants produces three generation of design solutions. This case validates that the crowdsourcing ideation method increases the diversity of design solutions and improves the quality of design ideas.