Natphoric computer-aided Kansei Engineering system

Mohammad Bakri Che Haron, A. Lokman, Siti Zaleha Zainal Abidin, Noor Elaiza Abd Khalid
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引用次数: 2

Abstract

Sophisticated consumers and highly competitive environment has forced designers and manufacturers to realize the importance of consumer emotion in creative product design. Kansei Engineering (KE) is a technology that enables discovery of consumer's emotions when interacting with a product and use them to formulate a guide in designing products that can win consumers in a competitive market. However, there are not many Kansei experts in the world today and there is no rule of thumb or specific manual for the process. This research proposes a computer-aided Natphoric Kansei Engineering system that will aid users in the process. The system incorporated step-by-step technique of KE type 1 and automate word classification process that usually requires expertise in KE. Result of the system is compared with the one which is done by an expert. From the result, it is shown that the system is able to provide similar output. The system will benefit the product inventors and designers, especially in Malaysia, where there is in need of a good design method to produce innovative product.
自然计算机辅助感性工学系统
复杂的消费者和激烈的竞争环境迫使设计师和制造商意识到消费者情感在创意产品设计中的重要性。感性工学(Kansei Engineering, KE)是一种能够发现消费者在与产品互动时的情感,并利用这些情感来制定产品设计指南,从而在竞争激烈的市场中赢得消费者的技术。然而,当今世界上没有多少感性专家,也没有经验法则或具体的过程手册。本研究提出了一个计算机辅助的自然感性工学系统,将在此过程中帮助用户。该系统结合了KE类型1的分步技术和通常需要KE专业知识的自动词分类过程。并将该系统的计算结果与专家的计算结果进行了比较。结果表明,该系统能够提供类似的输出。该系统将有利于产品发明者和设计师,特别是在马来西亚,那里需要一个好的设计方法来生产创新产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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