面向Von Hippel提出的用户创新资源的开发需求,基于Boisot的信息空间(I空间)框架分析了用户拥有的信息资源的属性特征与空间定位,以及用户创新工具箱的4个技术特征的本质.把创新行为描述为I空间中的移动路线,通过对比职业研发者的创新路径和用户信息资源的转化路径,讨论了技术手段对用户参与创新的辅助作用,建立了用户创新工具箱在I空间中的信息流模型.给出了工具箱的技术方案,提出了知识型、感知型和智能化三种基本的用户创新技术辅助路线,让用户可以在不具备专业研发技能的前提下借助工具完成创新工作.基于交互式遗传算法开发了用户创新工具箱的原型系统,并通过产品外观设计实例开展了仿真实验研究,对理论方法进行了应用验证.
Considering the demands for exploring user's innovation resource proposed by Von Hippel,based on Boisot's information space( I-space) frame,it analyzed the properties and position of user's information resource and the four technical features of user toolkit for innovation( UTI). The innovation behaviors were described as moving paths in Ispace,through which the professional developers' behavior and user information resource's transforming were compared to discuss technical methods' aiding to user's participation in innovation. It built the information flow model for UTI in Ispace. It proposed a technical plan for UTI model and three basic technical aiding paths for user innovation,making non-professional users able to fulfill innovation task with UTI. An UTI proto system was programmed based on interactive genetic algorithms,in which a product shape styling example was simulated to testify the methods proposed.