摘要
不同的服装造型形式特征影响着消费者对不同设计的偏好和接受度。为提供更为有效的满足消费者感性要求的服装造型设计方案,基于感性工学的理论,在分析其技术方法和实施框架的基础上,结合服装造型设计的研究实际,提出消费者感性信息的获取、脑电特征与服装物理特征之间预测模型的建立、分析数据的转化这一研究框架。研究结果可为大脑认知框架下的服装造型感性设计方法提供思路,且有助于服装设计师更有针对性地进行设计,降低新产品开发的风险,提高设计效率和核心竞争力。
Different clothing appearance features affect the preference and acceptability of consumers to design. In order to provide more effectively designing scheme of clothing appearances satisfying consumers'needs, the present paper optimizes the process of information retrieval, prediction modeling and data transformation to clothing appearances design based on the researches and analysis of techniques and routes of Kansei engineering. The results not only could provide thoughts for clothing appearance design methods under the brain's cognition, but also could aid fashion designers to reduce risks of new product development and increase the design efficiency and core competitiveness.
出处
《服装学报》
CAS
2016年第1期26-29,共4页
Journal of Clothing Research
基金
福建省自然科学基金青年基金项目(2015J05105)
闽江学院引进人才科研启动项目(MJY15002)
关键词
服装造型
评价
感性
大脑
优化设计
clothing appearance, evaluation, kansei, brain, optimized design