Abstract
As a new product, self-service rice milling machine can provide consumers with more healthy and convenient service experience. Now, such products are still in the primary stage of development. Due to the lack of accurate grasp of consumer psychology and other factors, the current market share is relatively low, so it is in urgent need to improve the design of such products. Product shape, as the first element of conveying product information, is semantic. Product semantics and Kansei Engineering are introduced to analyze the morphological characteristics and semantic meaning of self-service rice milling machine products. Firstly, product semantics is used to optimize the product design from the shape, color and material of the self-service rice milling machine. Then the morphological features of similar products were collected and evaluated by user intention semantics. Semantic difference method was used to obtain the semantic evaluation results of morphological features and grey correlation analysis was conducted. Finally, according to the method constructed in this paper, through the analysis of Kansei evaluation value and grey correlation coefficient, the influence degree of users' Kansei intention and each part of the product on the product shape intention is obtained. The research results of product semantics theory on the shape, color and material of the self-service rice milling machine are provided with guidance for future design.
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Zhu, H., Chen, Y. (2021). Kansei Evaluation of the Self-service Rice Polisher Design Research Based on Product Semantics Theory. In: Shin, C.S., Di Bucchianico, G., Fukuda, S., Ghim , YG., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-80829-7_136
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DOI: https://doi.org/10.1007/978-3-030-80829-7_136
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