This paper aims to evaluate the emotional component of the transformable clothing by using semantic differential. The process of evaluating consumer’s emotional experience consists of steps that provide an ability to classify the Kansei attributes of transformable clothes. The results of evaluation are to be used as a data set to fill the database of knowledge of the previously developed expert system to support clothing design process. In order to achieve the purpose of the research several subtasks were solved. Firstly, the collection of the transformable clothing was designed, and the method to analyse images was selected. The data set of images of transformable clothing was formed and prepared to be included into the database of the expert system, which is designed to select the clothing with certain emotional impression.
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