摘要
为研究产品的色彩、材质等变量对老年人认知的影响,以居家辅助康复训练产品为设计对象,采用隐性知识和分布式认知理论建立了老年人认知理论模型;运用熵值法和CRITIC方法,确定了色彩、材质等因素影响老年人对产品认知的权重;通过挖掘用户的隐性知识,获得感性意象词,分析产品设计变量并编码;采用BP神经网络建立了产品设计变量与感性意象间的映射模型;基于Java语言搭建了居家辅助康复产品评价系统。最后,通过误差分析法验证设计评价系统的有效性,为居家辅助康复产品设计量化评价提供新方法。
In order to study the influence of color,material and other product variables on the cognition of the elderly,taking the home assisted rehabilitation training product as the design object,a cognitive theoretical model of the elderly was established with using tacit knowledge and distributed cognitive theory.Entropy method and CRITIC method were used to determine the weights of color,material and other factors affecting the elderly’s cognition of products.The product design variables were analyzed and coded through the mining of users tacit knowledge to obtain perceptual image words.A mapping model between product design variables and perceptual images was established using BP neural network.A home assisted rehabilitation product evaluation system was built based on Java language.Finally,error analysis was performed to verify the effectiveness of the design evaluation system.This study could provide a new method for the quantitative evaluation of home assisted rehabilitation product design.
作者
杨冬梅
刘佳鑫
张健楠
张从
李竹一
YANG Dong-mei;LIU Jia-xin;ZHANG Jian-nan;ZHANG Cong;LI Zhu-yi(School of Architecture and Art Design,Hebei University of Technology,Tianjin 300131;School of Artificial Intelligence and Data Science,Hebei University of Technology,Tianjin 300131)
出处
《机械设计》
CSCD
北大核心
2022年第1期154-160,共7页
Journal of Machine Design
基金
天津市艺术科学规划项目(C16064)。
关键词
产品设计
评价系统
BP神经网络
隐性知识
感性意象
product design
evaluation system
BP neural network
tacit knowledge
perceptual image