摘要
目的为合理界定产品合用性需求偏好及其优先程度以针对性提高用户产品合用性体验,提出一种基于用户特征分类的产品设计优先级配置方法。方法将Pearson相关系数融入有限理性假说模型中对用户群体进行特征分类,根据Pearson相关系数筛选用户需求与行为背离现象影响因素,并作为特征用户的划分依据。以层次分析法(AHP)为主,从产品属性、符号要素和人机因素3个维度构建产品合用性评估分析系统,对产品特征要素进行量化分析,探求不同特征用户对于产品设计要素的优先级,把控特征用户在产品选择及使用过程中表现出的需求走向,以此为据提升产品合用性体验。结论以疫情期间女性防护用品为例,验证了该方法的有效性,为女用防护服与其他产品的设计开发提供了产品设计优先级配置方法。
In order to reasonably define the product compatibility demand preference and its priority to improve the user product compatibility experience in a targeted manner, a product design priority configuration method based on user characteristics classification is proposed. The Pearson correlation coefficient is integrated into the bounded rationality hypothesis model to classify the characteristics of the user group and screen the influencing factors of user demand and behavior deviation according to Pearson correlation coefficient, and used as the basis for characteristic users. The analysis of hierarchy process(AHP) is the main method, from the three dimensions of product attributes, symbolic elements and human-machine factor to construct a product suitability evaluation and analysis system, to quantitatively analyze product feature elements, to explore the priority of different feature users to product design elements, and to control the demand trends of feature users demonstrated in the product selection and use process, and use this as a basis to improve product compatibility experience. The effectiveness of this method is verified by the female protective articles during the epidemic period, which provides a product design priority configuration method for the design and development of female protective clothing and other products.
作者
杨梅
王怡妍
李雪瑞
侯幸刚
YANG Mei;WANG Yi-yan;LI Xue-rui;HOU Xing-Gang(Shandong University of Science and Technology,Shandong Qingdao 266590,China)
出处
《包装工程》
CAS
北大核心
2022年第12期157-164,173,共9页
Packaging Engineering
基金
山东省研究生导师指导能力提升项目(SDYY18082)
山东科技大学优秀教学团队建设计划资助(JXTD20170509)
2021年山东省研究生教育质量提升计划(SDYAL20058)。
关键词
产品合用性
用户特征
需求分析
层次分析法
优先级配置
product compatibility
user characteristics
demand analysis
analytic hierarchy process
priority configuration
