Abstract
Today’s development focuses on the integration of affective meaning into products and services. Kansei Engineering (KE) is a technology that establishes the relationship between customers’ kansei and design elements to optimize the design for customers. This study aims to identify the research status and emerging trends in KE research by using visualization analysis with CiteSpace. We retrieve 2830 articles from the core collection of the Web of Science (1995–2021). First, based on the chronological distribution and background of research institutions, journals, literatures, countries and core authors, this study analyzes the main contributions, knowledge sources, interdisciplinary characteristics and major research domains of KE. Second, the research hotspots and cutting-edge technologies are intuitively presented and analyzed to reveal the knowledge structure and research frontier. Finally, this research expounds upon the evolution and developmental process of each stage and proposes the emerging trends of KE research, which are the use of big data in the Internet era, multidisciplinary cooperation, and the integration of multiple mathematical algorithms to serve multiapplication practice. This is also the orientation for further research on KE in the succeeding stages.
Highlights
Kansei is a Japanese term meaning sensibility, subjective impressions, and emotion[1]
The results show that system, techniques related to computer science such as the field of design and enterprises in Asia benefit from the expert systems, fuzzy logic, neural networks, genetic promotion and application of Kansei Engineering (KE)
According to the keywords and clusters, this paper summarizes the characteristics and defects of common popular mathematical algorithm techniques, as shown in Table XI. (1) Quantification Theory Type I (QTTI): Quantification theory type I is widely used in KE
Summary
Kansei is a Japanese term meaning sensibility, subjective impressions, and emotion[1]. KE is a powerful product development methodology proposed by Nagamachi(1995) that aims to translate consumers' feelings, images, and requirements for existing products or concepts into product design elements[2][3]. KE is mainly a catalyst for the systematic development of new and innovative solutions[1][4] but can be used as an assessment tool to improve existing products and concepts[5]. It has been widely expected that KE research on service design will be conducted[9]. A KE-based approach to enable cross-border e-commerce[1] providers to be closer to customers in e-banking systems[10], luxury hotel services[11], real estate services[12], and logistics services[13][14] helps them improve existing services and inspire new service design concepts, improving customer satisfaction and stickiness and even develop a new customer base. KE is a creative and practical way to improve existing products and services and enact new innovation. As the concept of KE is introduced to promote customer satisfaction, related researchers have considerably discussed and formed different research branches
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