面向产品感性意象的造型优化设计研究现状及趋势

Current Research Situation and Trend of Product Image-based Modeling Optimization

目的产品的设计优化创新一直是研究的重点,而造型是设计优化的重要关注点之一。针对感性产品的造型优化,充分应用感性工学理论及技术,进行以用户为中心的意象造型优化设计成为当前的研究热点,基于此,对面向产品意象的造型优化设计的研究现状及趋势进行了分析。方法通过对国内外学者相关文献的梳理和归纳,在感性工学理论体系相关概念阐述的基础上,分别探讨了面向产品意象造型优化设计中的意象提取、映射构建及造型创新三个主要环节;重点分析了在产品意象造型优化中,基于计算机算法的造型优化、基于创新理论的造型优化和基于数理统计模型的造型优化三个方面的关键理论、技术及其运用。结论总结出了在造型优化方面中关键理论、技术的优缺点;结合设计研究的发展趋势,对产品意象造型优化设计提出了展望,即多方法融合、生理心理认知测量技术结合、基于AI技术和大数据的优化。

Product design optimization and innovation have always been the focus of research, and modeling is one of the main focuses of design optimization. In view of the shape optimization of perceptual products, it has become a research hotspot to make full use of the theory and technology of Kansei engineering to carry out user centered image shape optimization design. Based on this, the research status and trend of image-oriented shape optimization design of products were analyzed. Based on the analysis of the related literature of scholars at home and abroad, and the related concepts of Kansei engineering theory system, this paper discussed the three main links of image extraction, mapping construction and modeling innovation in product image-oriented modeling optimization design, and focused on the analysis of key theories, technologies and application of model optimization based on computer algorithm, innovation theory and mathematical statistical model. This paper summarizes the advantages and disadvantages of the key theories and technologies in the aspect of modeling optimization, and puts forward the prospect of product image modeling optimization design, namely, multi-method fusion, combination of physiological and psychological cognitive measurement technology, and optimization based on AI technology and big data, combining with the development trend of design research.