The work aims to carry out visual analysis on research hotspots in relevant literature, cutting-edge trends and theoretical foundations to systematically summarize the global characteristics of related research in Kansei Engineering, and further master the current research progress of Kansei Engineering. The literature data related to Kansei Engineering collected in the core database of Web of Science were used as the analysis sample, and VOSviewer and CiteSpace software were comprehensively adopted to draw the knowledge graph about the literature output distribution, author, country, partner institution, key word clustering and literature co-citation. Then, the research context of Kansei Engineering was sorted out through visual analysis. The number of related literature in Kansei Engineering is on the rise as a whole. China, Japan, Malaysia and other Asian countries are in the leading position in research, and the cooperation between regions and countries is close, but the cooperation between inter-regional institutions is relatively scattered. The research disciplines of Kansei Engineering are widely distributed, involving design, computer science, information science and other disciplines and showing a trend of multi-disciplinary cross-integration. The research hotspots mainly focus on product form design, process and method, perceptual evaluation, design knowledge and intelligent learning. The current research status is relatively mature, and a theoretical system based on Kansei Engineering design process and paradigm, semantic difference method and Kansei Engineering system has been formed. In addition, intelligent computing, big data, and text mining have become new trends in future research.