面向早期造型设计的产品“可供性”评估研究

Evaluation of Product Affordance for Early Shape Design

中文关键词: 可供性  设计参数  二元逻辑回归分析  ABIGA

英文关键词: affordance  design parameter  Binary Logistic Regression  ABIGA

中文摘要:

      目的 为了增强设计师对消费类电子产品几何属性的认知，提高用户对其外观可供性感知的精准度，通过评估产品的可供性质量并建立其与设计参数的映射关系，为相关产品的早期造型设计提供参考。方法 首先，基于可供性理论和AMGA2交互式微型遗传算法(the Improved Archive-based Micro Genetic Algorithm, AMGA2)，搭建了ABIGA(Affordance Based Interactive Genetic Algorithm)设计优化平台;其次，以紧凑型数码相机为具体的研究实例，通过二元逻辑回归分析对可供性与设计参数之间的映射关系进行量化研究。结果 通过回归方程的模拟预测，设计师可以进行设计参数的调整，从而增加或降低产品特定的可供性特征，进而提高用户对产品可供性质量的感知度。结论 设计优化平台ABIGA为不同造型方案的演化提供了帮助，希望在早期相机造型设计中这些方案能够有效地启发相关设计师。

英文摘要:

      The work aims to enhance the designers' recognition on geometric attributes of consumer electronic products, improve the users' perception of product appearance affordance and provide reference for the early shape design of related products by evaluating the affordance quality of products and establishing the mapping relationship between them and design parameters. Firstly, based on the affordance theory and the Improved Archive-based Micro Genetic Algorithm (AMGA2), an optimization platform was designed. Secondly, taking the compact digital camera as a concrete research example, the mapping relationship between affordance and design parameters was quantitatively studied by Binary Logistic Regression Analysis. Designers could adjust the design parameters through the simulation and prediction of the regression equation, thus increasing or decreasing the specific affordance of products and improving users' perception of product affordance quality. Finally, the design optimization platform ABIGA, has helped the evolution of different shape solutions, hoping that these solutions can effectively inspire relevant designers in early camera shape design.