摘要
本文研究基于深入挖掘用户需求数据与产品要素的关联性,结合智能家居产业的发展现状提出产品优化设计的方法.经过对用户数据进行[1]分类、估算与转换等操作流程,将设计需求功能带入KANO模型帮助设计师挖掘用户需求偏好,预测未来智能家居行业的用户需求趋势.基于用户数据的智能家居产品造型设计优化方法真实反映用户多层次需求,具备可行性和可靠性,提高了设计效率和准确性,为设计师在未来其他领域的设计提供参考和借鉴.
Based on the in-depth mining of the correlation between user demand data and product elements,this paper proposes the method of product optimization design combining with the development status of the smart home industry.Through the operation process of user data processing[1],classification,estimation and transformation,the design demand function is brought into the KANO model to help designers mine user demand preferences and predict the future trend of user demand in the smart home industry.The modeling design optimization method of smart home products based on user data truly reflects the multi-level needs of users,has feasibility and reliability,improves the efficiency and accuracy of designers'design,and provides reference for designers in other fields of design in the future.
作者
张广超
刘莉
ZHANG Guang-Chao;LIU Li(School of art design,Jilin Jianzhu university,Changchun 130118,China)
出处
《吉林建筑大学学报》
CAS
2023年第2期71-76,共6页
Journal of Jilin Jianzhu University
关键词
用户需求
智能家居产品
造型优化
工业设计
user demand
smart home product design
shape optimization
industrial design
