摘要
为了适应互联网技术的发展,使设计创新结果更好地满足用户需求,研究数据方式对设计创新的驱动作用。通过文献综述介绍数据驱动产品创新的基本特征,应用K-Means聚类方法构建数据驱动产品创新模型,根据模型分析结果指导产品设计。构建K-Means聚类的数据驱动产品创新模型,并应用该模型设计一款儿童陪伴机器人。使用本模型指导产品创新具有缩短产品开发时间、减少设计资源投入、提高产品设计效率等优点,有助于提高产品创新内容质量。
In order to adapt to the development of Internet technology and make the design results meet the needs of users better,the driving effect of data methods on design innovation is studied.This article introduces the basic characteristics of data-driven product innovation through literature review,applies K-means clustering method to build a data-driven product innovation model,and guides product design based on the results of model analysis.The datadriven product innovation model using K-Means clustering is proposed. Using this model to guide product innovation has the advantages of shortening product development time,reducing design resource input,improving product design efficiency,etc.,and helping to improve the quality of product innovation content.
作者
李月恩
张舒青
张伽诚
LI YUEEN;ZHANG SHUQING;ZHANG JIACHENG
出处
《设计》
2023年第3期10-13,共4页
Design
