An Affective Study of Pleasurable Images on Product Shapes
Autor: | Ping-You Chen, 陳平餘 |
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Rok vydání: | 2008 |
Druh dokumentu: | 學位論文 ; thesis |
Popis: | 96 Nowadays, purchasing or possessing products with self-unique style,individualization and pleasure images becomes the main stream in the consumer market. Under this point of view, how to effectively apply the design operation and product shape representing pleasurable products becomes an important topic for designers and decision-makers of the enterprise. This study investigated the potential factors influencing consumers to judge and perceive the pleasure images of products We applied factor analysis method to distilled five main factors, including: relaxed and humor, trust and familiar, attraction and shape operation, that influence consumers judge pleasure image of products. From extracting experiments of shape characteristics in products, we got nine features of manipulative methods influencing pleasure images. The nine features include: color, delicate degree, bionic design, associational thinking, unreasonable combination, narrative, symbols application, using process and shape operation. In the further exploration, we applied quantity analysis type I method to analyze the responses of nine features. The experimental results show: designer must consider the consumer’s experience, feeling and the entirety context of product evoking meaning behind the scenes when designing pleasurable products. And the expressing meanings need be understood and interpreted by consumers easily. Therefore, consumers can experience the pleasurable connotation of products. In the experiment results of whole features manipulation show: single feature can not be applied in pleasurable imageindependently, and the interaction among the combination of different features may enhance or weaken the whole pleasurable image. Therefore,if designers wish to design pleasurable and preferable products, they must express and apply all features in different ways onsidering entire performance. |
Databáze: | Networked Digital Library of Theses & Dissertations |
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