SEARCH RESULT

One of the most important steps in establishing a successful business is to do accurate data analysis. The correct analysis of the data and the correct information as a result of the analysis reveal the wishes, feelings, emotions, and demands of the users. With data analysis useful information should be discovered, those who are useless should be cleaned and what should have done in the next process. Several types of data analysis methods can be done based on the data collected from Kansei survey. These analyses play an important role in the process of Kansei Engineering. There are several types of statistical analysis that are developed to use in Kansei studies such as variance analysis, linear regression analysis, flow data analysis, principal component analysis, quantification theory I, factor analysis, cluster analysis, rough set theory. The purpose of data analysis is to synthesis statistical data or Kansei words with the product properties and therefore to be applied in the design context. Kansei engineering is a method used to convert a customer’s ambiguous imagine product into detail design. Kansei Engineering starts from decision of strategy as design domain as well as target. It is collected the Kansei words related to the product domain. The word Kansei, which is used in design and other research areas. It means the feeling of beauty and pleasant emotions reflected by any object and its desire in Japanese. Kansei words form the basis of Kansei engineering. In a way, Kansei engineering is a product development method which can measure a customer’s feeling, values and affective needs and translate them into concrete product solutions. Since 1980’s Kansei Engineering has expanded greatly and become a significant discipline both in the industrial and the academic world. Furthermore, Kansei Engineering developed as an efficient research discipline, providing many innovations and market success in the industrial world. It is founded by Mitsou Nagamachi, a professor at Hiroshima University. He is considered to be the father of Kansei Engineering. The term Kansei Engineering itself was used the first time in 1986 by Yamanota, president of Mazda Automotive Corporation at Michigan University. The main aim of this study is to explain Kansei engineering and model which is rarely seen in Turkish literature and to reveal its relationship with data analysis. Besides, the future of importance of data, Big data, data analysis and Kansei Engineering will be discussed.

International Data Science & Engineering Symposium
IDSES

Mustafa Umut Öztürk Ahmet Öztürk