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Title: Method of analyzing images of clothes based on Kansei Engineering
Authors: Курочка, С.
Свірук, Л.
Кулешова, Світлана Геннадіївна
Захаркевич, Оксана Василівна
Kurochka, Snizhana
Sviruk, Lesya
Kuleshova, Svetlana
Zakharkevich, Oksana
Keywords: fashion;Kansei;visual images;semantic differential
Issue Date: 2017
Citation: Method of analyzing images of clothes based on Kansei Engineering / S. Kurochka, L. Sviruk, S. Kuleshova, O. Zakharkevich // International Conference on Technics, Technologies and Education (ICTTE 2017), October 19-20st, 2017. – Yambol, Bulgaria, 2017. – P. 92-99.
Abstract: Fashion, in contemporary world is becoming more sophisticated day by day. Its implications on general public are dramatically increasing in the cultural level that divides community into different subcultures. Hence, the emotional aspect of people towards ‘Fashion Industry’ is rising at a rapid rate. The most important component of customer’s impression must be considered in terms of garment design in order to maintain leadership on the market. This paper aims to evaluate the emotional component of the garment with semantic differential. The process of evaluating consumer’s emotional experience consists of steps that provide an ability to classify the Kansei attribute of clothes. They are considered as key issues for the concept of recognition of images, and particularly emotions. Method based on Kansei Engineering model is used to develop the full range of emotional keywords and their affinity cluster. The result shows that this method will be a good reference to design studies that involved with user's personal emotional experience in the field of clothing design. This research intends to seek the psychological and emotional parameters that influence the selection of a particular dress and colour for female. The research involves the results of a designed survey.
Content type: Стаття
Appears in Collections:Кафедра технології та конструювання швейних виробів

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