I-Corps L: TheDesignExchange- Nuturing a National Design Innovation Ecosystem

通过NSF Innovations Corps for Learning Program（I-Corps L），该项目将把TheDesignExchange转变为一个高影响力的可持续企业，培育一个国家设计创新生态系统。以人为本的设计正在成为创新和产品开发的重要途径。虽然有许多项目向感兴趣的人介绍以人为本的设计原则，但从这些项目到成为专家的进展却很难得到支持。这对于那些专注于以人为本的过程中的研究部分的人来说尤其如此，那些与潜在客户和用户一起设计和进行研究的人，为创新和产品开发工作提供信息。设计交流的目的是支持个人，因为他们通过设计掌握水平的进步，同时鼓励进行设计研究和应用以人为本的设计方法的最佳实践的发展。 设计交流将设计方法与设计问题相匹配，以帮助设计师和设计研究人员就何时以及如何应用方法做出明智的决定，并促进从业者之间的讨论，以交流专业支持。另一个目标是利用从designexchange获得的知识来识别和教授与各种方法相关的基本技能，为应届毕业生提供如何，为什么以及何时应用特定设计研究方法的更流畅的理解。TheDesignExchange有可能作为设计界以及有兴趣加入这些领域的人的创新和设计流程信息来源产生广泛的影响，同时充当社区讨论的在线会议场所。DesignExchange团队通过对82个设计过程模型和300多种设计方法的深入分析，创建了一个设计方法分类。正在进行的工作福尔斯四类：（1）通过与设计从业人员举办的一系列研讨会完善分类法;（2）收集相关的设计过程案例研究，分析设计方法的使用;（3）使用机器学习算法开发设计方法推荐系统;（4）开发交互式智能门户网站。通过分析方法是否经常共同出现或不，它被发现，基于方法协方差的预测比基于问题内容的预测具有更高的精确度-召回性能;并通过对方法协方差数据使用谱聚类，方法可以自动划分为专家给定的分组，准确率为92%。

Through the NSF Innovations Corps for Learning Program (I-Corps L), this project will transform TheDesignExchange into a high impact sustainable enterprise, nurturing a national design innovation ecosystem. Human-centered design is emerging as an important approach to innovation and product development. Although there are many programs to introduce the principles of human-centered design to interested individuals, progressing from these programs to becoming an expert is poorly supported. This is especially true for those that focus on the research portion of the human-centered process, those that design and conduct research studies with potential customers and users that inform innovation and product development efforts. TheDesignExchange aims to support individuals as they progress through the levels of design mastery, while encouraging the development of best practices for conducting design research and applying human-centered design methods. TheDesignExchange will match design methods to design problems in order to help designers and design researchers to make informed decisions about when and how to apply methods, and facilitates discussions between practitioners in an exchange of professional support. Another goal is to leverage knowledge gained from theDesignExchange to identify and teach the underlying skills associated with the various methods, providing recent graduates a more fluid understanding of how, why, and when to apply specific design research methods. TheDesignExchange has the potential to produce broad impacts as a source of information on innovation and the design process for the design community, and for those interested in joining these fields, while acting as an online meeting place for community discussions. TheDesignExchange team has created a taxonomy of design methods collected from an in-depth analysis of 82 design process models, and the collection of over 300 design methods. Ongoing work falls into four categories: (1) refinement of the taxonomy through a series of workshops held with design practitioners; (2) collection of relevant design process case studies analyzed for the use of design methods; and (3) development of a design method recommendation system, using machine learning algorithms; (4) development of an interactive and intelligent web portal. By analyzing whether methods frequently co-occur with one another or not, it was found that predictions based on method covariance have higher precision-recall performance than predictions based on problem content; and by using spectral clustering on the method covariance data, methods can be automatically divided into expert-given groupings with 92% accuracy.