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工程设计学报
工程设计学报  2017, Vol. 24 Issue (5): 523-529    DOI: 10.3785/j.issn.1006-754X.2017.05.006
工业设计     
基于感性工学的人机界面多意象评价
袁树植1, 高虹霓1, 王崴1, 瞿珏1,2, 刘晓卫1, 李康1
1. 空军工程大学 防空反导学院, 陕西 西安 710051;
2. 西北工业大学 航空学院, 陕西 西安 710072
Multi-image evaluation for human-machine interface based on Kansei engineering
YUAN Shu-zhi1, GAO Hong-ni1, WANG Wei1, QU Jue1,2, LIU Xiao-wei1, LI Kang1
1. College of Air-Defense and Anti-Missile, Air Force Engineering University, Xi'an 710051, China;
2. School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China
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摘要：

为了给人机界面设计提供有效的评价手段，围绕用户对人机界面的感性需求，提出了基于感性工学的人机界面多意象评价方法。首先运用感性工学方法建立感性指标评价体系，在指标权重分配上，通过将灰色关联分析法引入群层次分析（analytic hierarchy process，AHP）法中，利用改进的群AHP法求取综合权重，解决了传统AHP法主观性过强的缺点；同时根据感性工学评价的模糊性，建立了一种直觉模糊集理论和TOPSIS （technique for order preference by similarity to an ideal solution）法相结合的综合评价模型。结合数控机床人机界面设计方案验证了该评价方法的有效性和可行性。该方法对人机界面感性设计与设计评价具有一定的参考意义。
关键词： 人机界面;  感性工学;  群层次分析;  灰色关联分析;  直觉模糊集;  TOPSIS (technique for order preference by similarity to an ideal solution)    
Abstract:

In order to provide an effective evaluation method for human-machine interface design, a multi-image evaluation method for human-machine interface based on Kansei engineering was proposed around the users' perceptual demand for human-machine interface. Firstly, the perceptual evaluation index system based on Kansei engineering was built. In the weight assignment of indexes, the grey correlation analysis was introduced into group analytic hierarchy process (AHP). The comprehensive weight was obtained through the improved group AHP. And thus, the disadvantage of excessive subjectivity of traditional AHP was resolved. Based on vagueness of perceptual evaluation, a comprehensive evaluation model based on intuitionistic fuzzy set and TOPSIS was given. The effectiveness and feasibility of the evaluation method were proved with the design schemes of human-machine interface for CNC machine tools. This method has certain reference significance for Kansei design and design evaluation of human-computer interface.
Key words: human-machine interface    Kansei engineering    group analytic hierarchy process    grey correlation analysis    intuitionistic fuzzy set    TOPSIS (technique for order preference by similarity to an ideal solution)
收稿日期: 2017-04-24 出版日期: 2017-10-28
CLC:  TP391.7  
基金资助:

国家自然科学基金资助项目（51675530，51405505）；航空科学基金资助项目（20145596026）
通讯作者: 瞿珏(1985-),男,湖南汨罗人,讲师,博士,从事人机交互界面设计、增强现实等研究,E-mail:qujue402@sina.com     E-mail: qujue402@sina.com
作者简介: 袁树植(1993-),男,河南兰考人,硕士生,从事人机交互界面设计研究,E-mail:1664267629@qq.com
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引用本文:

袁树植, 高虹霓, 王崴, 瞿珏, 刘晓卫, 李康. 基于感性工学的人机界面多意象评价[J]. 工程设计学报, 2017, 24(5): 523-529.

YUAN Shu-zhi, GAO Hong-ni, WANG Wei, QU Jue, LIU Xiao-wei, LI Kang. Multi-image evaluation for human-machine interface based on Kansei engineering[J]. Chinese Journal of Engineering Design, 2017, 24(5): 523-529.

链接本文:

https://www.zjujournals.com/gcsjxb/CN/10.3785/j.issn.1006-754X.2017.05.006    或    https://www.zjujournals.com/gcsjxb/CN/Y2017/V24/I5/523

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