基于创新活力监测的创意众包方法及关键技术研究

发布时间：2018-09-12 15:42

【摘要】：众包通过招募非特定参与者完成群体工作已有成功运用案例,在创意设计领域被寄予厚望。创意众包方法聚合集体智慧、获得创意方案,可支撑创新的良性发展,但存在随机性与不确定性。目前创意众包方法中存在两个主要问题。首先,既有产品方案与概念产品方案间概念的相互联系缺失,使得方案的概念分布缺乏有效参考。其次,创意众包过程的实时状态缺乏可计算的指标,给自动化创意众包过程增加了阻碍。为解决以上问题,本文提出一种基于创新活力监测的创意众包方法。该方法基于多轮次的众包任务迭代,首先招募众包参与者搜寻既有产品方案、建立对应的概念模型。进而招募众包参与者进行创意设计并提交概念产品方案,融合既有产品方案、概念产品方案构建概念模型。在迭代过程中,该方法依据实时计算的创新活力指标判定既有产品方案搜寻的结束条件,同时对概念产品设计众包中的创新活力进行实时检测及预警。本文随后对提出方法的两项关键支撑技术——基于相似度评价的方案概念空间映射算法、基于方案概念原型建模的创新活力算法进行研究。通过构建原型系统实现上述众包方法,本文以坐姿矫正的产品创意设计任务为例,对提出方法及关键技术的可行性、有效性进行了验证。实验结果表明,该方法可实现既有产品方案与概念产品方案间概念联系的构建,得到的创新活力指标可反映众包过程中的方案分布状态并用于实现自动化创意众包过程。
[Abstract]:Crowdsourcing has been successful in the field of creative design by recruiting non-specific participants for group work. The creative crowdsourcing method aggregates collective wisdom and acquires creative schemes, which can support the benign development of innovation, but there is randomness and uncertainty. At present, there are two main problems in the creative crowdsourcing method. Firstly, the lack of interrelation between the existing product scheme and the conceptual product scheme makes the conceptual distribution of the scheme lack of effective reference. Secondly, the real-time state of creative crowdsourcing process is short of calculable indicators, which increases obstacles to automated creative crowdsourcing process. In order to solve the above problems, this paper proposes a creative crowdsourcing method based on innovation vitality monitoring. This method is based on multiple rounds of crowdsourcing task iterations. Firstly, crowdsourcing participants are recruited to search for existing product schemes, and corresponding conceptual models are established. Then we recruit crowdsourcing participants for creative design and submit conceptual product solutions to integrate existing product schemes and conceptual product schemes to build conceptual models. In the iterative process, the method determines the end conditions of the existing product scheme search based on the real-time calculation of the innovation vitality index, and carries out real-time detection and early warning of the innovation activity in the conceptual product design crowdsourcing. In this paper, the two key supporting techniques of the proposed method, namely, the concept space mapping algorithm based on similarity evaluation and the innovative vitality algorithm based on the prototype modeling of the scheme concept, are studied in this paper. By constructing the prototype system to realize the crowdsourcing method, this paper takes the product creative design task of sitting posture correction as an example, and verifies the feasibility and validity of the proposed method and key technology. The experimental results show that this method can construct the conceptual relationship between the existing product scheme and the conceptual product scheme, and the innovative vitality index can reflect the scheme distribution state in the crowdsourcing process and be used to realize the automated creative crowdsourcing process.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB472

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