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The Kansei Design Characteristics towards Learning Style
Author(s) -
Haeryip Sihombing,
M.Y. Yuhazri,
Saifudin Hafiz Yahaya,
Fevi Syaifoelida
Publication year - 2013
Publication title -
journal of engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.244
H-Index - 20
eISSN - 2314-4912
pISSN - 2314-4904
DOI - 10.1155/2013/584656
Subject(s) - kansei engineering , kansei , style (visual arts) , product (mathematics) , feeling , product design , perception , psychology , quality (philosophy) , human–computer interaction , cognitive style , cognition , engineering , cognitive psychology , computer science , social psychology , mathematics , visual arts , art , philosophy , geometry , epistemology , neuroscience
The individuals possess unique ways of how they learn. Based on this perspective, each of individuals will approach the general learning experiences in a personal and individualized way related to his/her performance and behavior. This study is to analyze the characteristics of product design using Kansei Engineering approach towards the student learning style based on Felder and Soloman's theory. Using the 8 (eight) spectacles designs proposed comparing the emotional feeling towards design of product, the study involved 100 students who are using spectacles as the respondents. Focusing on the perception and input dimensions of the Felder-Soloman learning styles comprised in 22 questions and the Crane cognitive alert styles in 9 questions, the result of study shows that the students who are using spectacles are dominated by “the visual” type of Felder-Soloman learning styles. In addition, based on the using of Kansei Engineering, this study also found that the respondents tend to interpret the rimless design of spectacles as “fragile,” “unattractive,” “old-fashion” product, while the design with thicker frame as “durable,” “attractive,” cool,” “ergonomic” product. In this study, there are also the significant correlations proved against the preferences of product design based on quality affective (Kansei Engineering) using learning styles and cognitive alert styles

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