产品设计的大数据设计方法研究
摘 要：文章从大数据对产品设计领域的推动作用进行切入，通过文献研究法、案例分析法等，对多个具有代表性的产品设计案例进行了分析和比较。基于此，在设计前期阶段，提出新型产品开发模型，优化数据的收集和分析；在后期阶段，提出产品反馈模型，实现数据的动态反馈并形成良性循环。此外，在需求数据收集、数据整合、反馈机制与隐私保护等方面提出建议，以期推动当前工业设计和产品开发方法的迭代创新，更好地服务于用户群体。
关键词：产品设计；工业设计；大数据；用户画像；用户需求
中图分类号：TB472 文献标识码：A 文章编号：1672-7053(2023)08-0063-04
基金项目：四川省2023年度社会发展科技领域重点研发项目 （2023YFS0462）
Abstract： The article starts from the role of big data in promoting the field of product design, and analyzes and compares several representative product design cases through literature research method and case study method. Based on this, in the pre-design stage, a new product development model is proposed to optimize the collection and analysis of data; in the later stage, a product feedback model is proposed to realize dynamic feedback of data and form a positive cycle. They are also put forward in areas such as requirement data collection, data integration, feedback mechanisms, and privacy protection, aiming to promote iterative innovation in current industrial design and product development methods, and better serve user groups.
Key Words：Product Design; Industrial Design; Big Data; User Persona; User Needs
