自动化专家的角色,以确定设计概念在感性工程

Q3 Mathematics
A. Lokman, M. B. C. Haron, S. Z. Abidin, N. Khalid
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引用次数: 2

摘要

影响已成为产品质量的关键。在情感设计领域,感性工学(KE)被认为是一种能够发现消费者的情感并制定指导方针,从而设计出在竞争激烈的市场中赢得消费者的产品的技术。虽然是强大的技术,但在分析和解释过程中没有经验法则。需要KE专业知识来确定相关的感性和重要的情感概念。由于可用的和可接触的KE专家数量有限,许多研究努力受到阻碍。本工作采用Natphoric算法模拟专家的作用,从而为KE的复杂性和灵活性提供了合理的解决方案。该算法旨在通过实现从以前的KE研究工作中获取的训练数据集来学习过程。在此基础上,设计了自动化KE框架,实现了自动化KE系统的开发。进行了比较分析,以确定……的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automating expert role to determine design concept in Kansei Engineering
Affect has become imperative in product quality. In affective design field, Kansei Engineering (KE) has been recognized as a technology that enables discovery of consumer’s emotion and formulation of guide to design products that win consumers in the competitive market. Albeit powerful technology, there is no rule of thumb in its analysis and interpretation process. KE expertise is required to determine sets of related Kansei and the significant concept of emotion. Many research endeavors become handicapped with the limited number of available and accessible KE experts. This work is performed to simulate the role of experts with the use of Natphoric algorithm thus providing sound solution to the complexity and flexibility in KE. The algorithm is designed to learn the process by implementing training datasets taken from previous KE research works. A framework for automated KE is then designed to realize the development of automated KE system. A comparative analysis is performed to determine feasibility of ...
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来源期刊
Mathematics in Engineering, Science and Aerospace
Mathematics in Engineering, Science and Aerospace Mathematics-Applied Mathematics
CiteScore
1.70
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0.00%
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