Based on the EEG experiment, the user's perceptual judgment of the product is quantified. The corresponding relationship between the user's EEG information and the product image in the cognitive process is constructed, and the corresponding image reasoning model is established. The product image is described by multiple groups of perceptual image adjectives. Based on the behavior data, EEG and event related potential of the subjects, the decision behavior of the subjects during the image cognition is analyzed. With different images matching conditions, the amplitude and distribution of ERP components are studied to determine the mapping relationship between EEG information and product image. Based on the evaluation factors such as time length, selection rate and EEG signal, the product image reasoning model is constructed. It is proved that the results of the reasoning model and the image semantic evaluation are consistent and have good reliability.
[1] BARLOW J,MAUL D,EDWARDSON M.Emotional value:Creating strong bonds with your customers[D].Oakland:Berrett-Koehler Publishers,2000.
[2] MICHAEL S G,RICHARD B I,GEORGE R M.认知神经科学[D].上海:上海教育出版社,1998. MICHAEL S G,RICHARD B I,GEORGE R M.The cognitive neurosciences[D].Shanghai:Shanghai Education Press,1998.
[3] DAHAL N,NANDAGOPAL N,NAFALSKI A.Modeling of cognition using EEG:A review and a new approach[C]//Tencon 2011-2011 IEEE Region 10 Conference,November 21-24,2011,Bali,Indonesia.New York:IEEE,2011:1045-1049.
[4] ROUSSELET G A,PERNET C R,CALDARA R.Visual object categorization in the brain:What can we really learn from ERP peaks?[J].Frontiers in Human Neuroscience,2011,5(1):156.
[5] MAGUIRE M J,MCCLELLAND M M,DONOVAN C M.Tracking cognitive phases in analogical reasoning with event-related potentials[J].Journal of Experimental Psychology:Learning,Memory,and Cognition,2012,38(2):273-283.
[6] LIN M H,WANG C Y,CHENG S K,et al.An event-related potential study of semantic style-match judgments of artistic furniture[J].International Journal of Psychophysiology,2011,82(2):188-95.
[7] 陈默,王海燕,薛澄岐,等.基于事件相关电位的产品意象语义匹配评估[J].东南大学学报,2014,44(1):58-62. CHEN Mo,WANG Haiyan,XUE Chengqi,et al.Match judgments of semantic word-product image based on event-related potential[J].Journal of Southeast University,2014,44(1):58-62.
[8] ROJAS J C,CONTERO M,CAMBA J D,et al.Design perception:combining semantic priming with eye tracking and event-related potential (ERP) techniques to identify salient product visual attributes[C]//ASME 2015 International Mechanical Engineering Congress and Exposition,Nov 13-19,2015,Houston,Texas.New York:ASME,2015:35-43.
[9] CHEN K,OWEN C L.Form language and style description[J].Design Studies,1997,18(3):249-274.
[10] REES G,SETH A K.The cognitive neuroscience of consciousness[D].Cambridge:MIT Press,2001.
[11] CHAN C S.Can style be measured?[J].Design Studies,2000,21(3):277-291.
[12] 罗仕鉴,潘云鹤.产品设计中的感性意象理论、技术与应用研究进展[J].机械工程学报,2007,43(3):8-13. LUO Shijian,PAN Yunhe.Review of theory,key technologies and its application of perceptual image in product design[J].Journal of Mechanical Engineering,2007,43(3):8-13.
[13] YAN H B,HUYNH V N,MURAI T,et al.Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis[J].Information Sciences,2008,178(21):4080-4093.
[14] CHUANG M C,MA Y C.Expressing the expected product images in product design of micro-electronic products[J].International Journal of Industrial Ergonomics,2001,27(4):233-245.
[15] 黄琦,孙守迁.基于意象认知模型的汽车草图设计技术研究[J].浙江大学学报,2006,40(4):553-559. HUANG Qi,SUN Shouqian.Research on automobile sketch design based on image cognition model[J].Journal of Zhejiang University,2006,40(4):553-559.
[16] 徐江,孙守迁,张克俊.基于遗传算法的产品意象造型优化设计[J].机械工程学报,2007,43(4):53-58. XU Jiang,SUN Shouqian,ZHANG Kejun. Product image form optimization design based on genetic algorithm[J].Journal of Mechanical Engineering,2007,43(4):53-58.
[17] 苏珂,孙守迁.基于基因表达式编程的产品材质意象决策支持模型[J].计算机集成制造系统,2012,18(2):237-242. SU Ke,SUN Shouqian.Product material image decision-making support model based on GEP[J].Computer Integrated Manufacturing Systems,2012,18(2):237-242.
[18] 罗仕鉴,李文杰,傅业焘.消费者偏好驱动的SUV产品族侧面外形基因设计[J].机械工程学报,2016,52(2):173-181. LUO Shijian,LI Wenjie,FU Yetao.Consumer preference-driven SUV product family profile gene design[J].Journal of Mechanical Engineering,2016,52(2):173-181.
[19] 倪敏娜,孙志宏,王梓,等.面向产品造型感性意象评价的BP神经网络模型的应用[J].东华大学学报,2016,42(4):604-607. NI Minna,SUN Zhihong,WANG Zi,et al.Applied research on BP neural network modeling for the evaluation of kansei images and elements of product design[J].Journal of Donghua University,2016,42(4):604-607.
[20] 周美玉,龚丽娜,刘飞.聚类模型在感性设计中的应用[J].机械工程学报,2008,44(7):248-252. ZHOU Meiyu,GONG Lina,LIU Fei.Application of cluster model in kansei design[J].Chinese Journal of Mechanical Engineering,2008,44(7):248-252.
[21] 张学东,田丽,王勇,等.基于支持向量机模型的产品意象评价研究[J].机械设计,2014(10):105-109. ZHANG Xuedong,TIAN Li,WANG Yong,et al.Research of product image evaluation based on the support vector machine model[J].Journal of Machine Design,2014(10):105-109.
[22] 杨纶标,高英仪.模糊数学:原理及应用[D].广州:华南工学院出版社,2004. YANG Lunbiao,GAO Yingyi.Fuzzy mathematics:Principles and applications[D].Guangzhou:South China University of Technology Press,2004.
