It is an important methodology to extract product’s overall KANSEI images by evaluating Critical Form Features (CFF). In this paper, Multi-class Fuzzy Support Vector Machines (MF-SVM) employing Emotional Cellular (EC) model was presented to extract KANSEI images of product’s CFF. EC is a very special kind of semantics cell, which is defined on two-dimensional (Valence-Arousal) emotional space. ...

Keen competitions in the global market have led product development to a more knowledge-intensive activity than ever, which requires not only tremendous expert knowledge but also effective analysis of design information. Kansei Engineering as a customer-oriented methodology for product development, often has to analyse imprecise design information inherent with nonlinearity and uncertainty. Thi...

In the present unstable and highly competitive global environment, trying to find a way to stay in business and grow is not always simple. With the shift from a 'product-out' to a 'market-in' approach, the demands of today’s consumer for high quality goods and service, has forced producers and service providers to apply quality management practice throughout industry. The purpose of this paper ...

Consumers’ emotion has become imperative in product design. In affective design field, Kansei Engineering (KE) has been recognized as a technology that enables discovery of consumer’s emotion and formulation of guide to design products that win consumers in the competitive market. Albeit powerful technology, there is no rule of thumb in its analysis and interpretation process. KE expertise is r...

Design that evoked emotions are one of the main concerning issues in developing mobile applications for online learning general and augmented reality (AR) based specific. Emotional design could attract users by creating different feelings while using AR-based applications. Suitable related to motivate students towards fascinating experiences. The aim this research is evaluate emotional response...