The current research status of Kansei engineering in the field of emotional clothing design

服装 感性工学 感性 工程类 领域(数学) 电流(流体) 心理学 营销 制造工程 广告 建筑工程 业务 机械工程 计算机科学 人机交互 地理 数学 电气工程 考古 纯数学
作者
Cong Wei,Xinrong Li,Wenqian Feng,Zhao Dai,Qi Yang
出处
期刊:International Journal of Clothing Science and Technology [Emerald Publishing Limited]
卷期号:37 (1): 93-114 被引量:10
标识
DOI:10.1108/ijcst-02-2024-0047
摘要

Purpose This study provides a comprehensive overview of the research landscape of Kansei engineering (KE) within the domain of emotional clothing design. It explores the pivotal technologies, challenges and potential future directions of KE, offering application methodologies and theoretical underpinnings to support emotional clothing design. Design/methodology/approach This study briefly introduces KE, outlining its overarching research methodologies and processes. This framework lays the groundwork for advancing research in clothing Kansei. Subsequently, by reviewing literature from both domestic and international sources, this research initially explores the application of KE in the design and evaluation of clothing products as well as the development of intelligent clothing design systems from the vantage point of designers. Second, it investigates the role of KE in the customization of online clothing recommendation systems and the optimization of retail environments, as perceived by consumers. Finally, with the research methodologies of KE as a focal point, this paper discusses the principal challenges and opportunities currently confronting the field of clothing Kansei research. Findings At present, studies in the domain of clothing KE have achieved partial progress, but there are still some challenges to be solved in the concept, technical methods and area of application. In the future, multimodal and multisensory user Kansei acquisition, multidimensional product deconstruction, artificial intelligence (AI) enabling KE research and clothing sales environment Kansei design will become new development trends. Originality/value This study provides significant directions and concepts in the technology, methods and application types of KE, which is helpful to better apply KE to emotional clothing design.
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