脑电结合行为指标的汽车内饰色彩感性评价

邓雅倩; 林丽; 郭主恩; 尹鑫; 蔡婉欣

doi:10.13433/j.cnki.1003-8728.20220024

脑电结合行为指标的汽车内饰色彩感性评价

doi: 10.13433/j.cnki.1003-8728.20220024

邓雅倩^1,,
林丽^1, ,,
郭主恩²,
尹鑫¹,
蔡婉欣²

1.
贵州大学机械工程学院，贵阳　550025
2.
贵州大学现代制造技术教育部重点实验室，贵阳　550025

基金项目: 国家自然科学基金项目（518965003）、贵州省科技计划项目（黔科合基础-ZK[2021]055）、黔科合平台人才计划资助项目（[2018]5781）及贵州大学培育项目（贵大培育[2019]06）

详细信息

作者简介:
邓雅倩（1995−），硕士研究生，研究方向为感性工学、工业设计， 1209259446@qq.com

通讯作者:
林丽，教授，博士生导师，linlisongbai@163.com

中图分类号: TG156
计量
- 文章访问数: 90
- HTML全文浏览量: 70
- PDF下载量: 10
- 被引次数: 0
出版历程
- 收稿日期: 2021-05-08
- 网络出版日期: 2023-05-29
- 刊出日期: 2023-05-25

Color Perceptual Evaluation of Automotive Interior Combined with EEG and Behavioral Index

DENG Yaqian^1
,,
LIN Li^{1
, ,},
GUO Zhuen²,
YIN Xin¹,
CAI Wanxin²

1.
School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
2.
Key Laboratory of Advanced Manufacturing Technology of the Ministry of Education, Guizhou University, Guiyang 550025, China

摘要

摘要: 为准确获取用户对色彩感性的评价信息，提高汽车内饰设计的成功率与效率，引入脑电技术，在解析用户的内隐感性信息基础上，对汽车内饰色彩样本进行感性评价研究。首先收集与汽车内饰色彩相关的形容词汇，通过聚类分析获得代表性意象词汇。其次由汽车内饰图片归纳出内饰代表性色相及其空间布局，两两组合形成新内饰色彩样本。接着，内饰色彩样本与代表性词汇建立基于脑电的感性认知实验，并实施感性评价实验。然后，将收集的原始脑电数据与行为数据进行异常值剔除与正向归一化处理，获取标准化数据。最后基于标准化数据应用熵权TOPSIS法，为不同指标进行赋权，并计算样本与意象之间的相对贴近度，得出不同意象下的最佳色彩样本排序。排序结果经专家小组讨论证明客观指标筛选出的方案具有有效性，可作为汽车内饰色彩设计的设计参考。
- 汽车内饰 /
- 色彩 /
- 感性评价 /
- 脑电数据 /
- 行为指标 /
- 相对贴近度
Abstract: In order to accurately obtain users' color perceptual needs and improve the success rate and efficiency of automotive interior design, EEG technology is introduced to analyze users' implicit perceptual information. Firstly, collect adjective vocabulary related to automotive interior design, and obtain representative image vocabulary through cluster analysis. The representative hues and spatial layout of the interior are summarized from the pictures of the interior of the automobile. Secondly, two sets of new interior color samples are synthesized and the representative vocabulary establishes an EEG-based perceptual cognitive experiment. Then, the collected original EEG data and behavioral data are processed to eliminate outliers and forward normalization to obtain standardized data. Finally, based on the standardized data, the entropy weight TOPSIS (Technique for order preference by similarity to an ideal solution) method is applied to weight different indicators, and the relative closeness between the sample and the image is calculated, and the best color sample ranking under the disagreement is obtained. The result was discussed by the expert group and proved that the scheme selected by the objective index is effective, which can be used as a design reference for the color design of automotive interiors.
- automotive interior /
- color /
- sensory evaluation /
- EEG data /
- behavioral index /
- relative proximity

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图 1 实验流程图

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图 2 8种色相

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图 3 蓝、黄两色相与不同空间布局产生的新样本

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图 4 EEG 32通道频谱图

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图 5 “素雅的且经典的”条件下最优样本

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表 1 内饰空间区域划分方案

Ⅰ（点缀重点）	Ⅱ（围绕感）	Ⅲ（交叉感）

整体保持主体色彩，在主要功能区域采用小面积的跳色进行强调	在仪表板、车门内饰和座椅用色一样，层次清晰给人以环绕的感觉	用色彩将空间分成两个区域，相互交叉，视觉感受强烈

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表 2 “素雅的”选择率、反应时标准化数据

编号	选择率	反应时
W_Ⅰ	0.622	0.594
W_Ⅱ	0.444	0.244
W_Ⅲ	0.378	0.217
O_Ⅰ	0.111	0.743
O_Ⅱ	0.089	0.945
O_Ⅲ	0	1
R_Ⅰ	0.156	0.749
R_Ⅱ	0.111	0.786
R_Ⅲ	0.044	0.725
Y_Ⅰ	0.067	0.878
Y_Ⅱ	0.089	0.934
Y_Ⅲ	0.022	0.914
B_Ⅰ	0.511	0.144
B_Ⅱ	0.333	0.169
B_Ⅲ	0.267	0.11
L_Ⅰ	0.444	0.175
L_Ⅱ	0.200	0.069
L_Ⅲ	0.067	0.121
P_Ⅰ	0.778	0.106
P_Ⅱ	0.711	0.168
P_Ⅲ	0.578	0.243
S_Ⅰ	0.933	0
S_Ⅱ	0.911	0.032
S_Ⅲ	0.911	0.099

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表 3 “素雅的”中不同样本N400幅值归一化

编号	FP1	FZ	F3	F7
W_Ⅰ	0.738	1.000	0.518	0.663
W_Ⅱ	0.586	0.362	0.691	0.841
W_Ⅲ	1.000	0.680	0.695	0.484
O_Ⅰ	0.858	0.874	0.831	0.998
O_Ⅱ	0.440	0.759	0.843	0.507
O_Ⅲ	0.424	0.782	0.768	0.754
R_Ⅰ	0.883	0.649	1.000	0.888
R_Ⅱ	0.019	0.000	0.021	0.000
R_Ⅲ	0.923	0.763	0.984	0.971
Y_Ⅰ	0.827	0.870	0.871	0.448
Y_Ⅱ	0.444	0.365	0.396	0.439
Y_Ⅲ	0.544	0.848	0.798	1.000
B_Ⅰ	0.284	0.454	0.386	0.290
B_Ⅱ	0.768	0.865	0.582	0.765
B_Ⅲ	0.226	0.509	0.438	0.998
L_Ⅰ	0.690	0.664	0.501	0.644
L_Ⅱ	0.336	0.301	0.465	0.964
L_Ⅲ	0.511	0.664	0.791	0.821
P_Ⅰ	0.665	0.400	0.746	0.721
P_Ⅱ	0.894	0.361	0.930	0.876
P_Ⅲ	0.000	0.003	0.000	0.536
S_Ⅰ	0.911	0.889	0.703	0.969
S_Ⅱ	0.434	0.192	0.451	0.597
S_Ⅲ	0.927	0.953	0.803	0.930

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表 4 各指标在不同意象下的权重指标

词汇	选择率	反应时	FZ	FP1	F3	F7
现代的	0.048	0.231	0.133	0.17	0.131	0.287
经典的	0.189	0.339	0.102	0.126	0.152	0.091
华丽的	0.113	0.365	0.128	0.165	0.163	0.067
活泼的	0.242	0.311	0.123	0.133	0.109	0.082
个性的	0.074	0.203	0.188	0.169	0.12	0.246
素雅的	0.297	0.291	0.12	0.126	0.096	0.07

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表 5 不同样本在各意象下的相对贴进度排序

编号	现代的		经典的		华丽的		活泼的		个性的		素雅的
编号	U_i	C	U_i	C	U_i	C	U_i	C	U_i	C	U_i	C
W_Ⅰ	0.546	16	0.735	6	0.32	16	0.609	8	0.679	9	0.743	4
W_Ⅱ	0.544	17	0.689	10	0.335	15	0.378	11	0.748	6	0.43	10
W_Ⅲ	0.447	20	0.77	4	0.364	14	0.278	22	0.52	18	0.408	12
O_Ⅰ	0.788	4	0.387	13	0.872	1	0.811	3	0.775	4	0.343	15
O_Ⅱ	0.81	1	0.21	21	0.73	6	0.707	7	0.337	22	0.284	20
O_Ⅲ	0.623	12	0.105	23	0.66	9	0.767	4	0.85	1	0.269	21
R_Ⅰ	0.711	8	0.728	7	0.775	4	0.544	10	0.661	11	0.398	13
R_Ⅱ	0.455	19	0.321	16	0.669	8	0.762	5	0.573	13	0.132	24
R_Ⅲ	0.578	14	0.284	18	0.616	10	0.605	9	0.271	23	0.355	14
Y_Ⅰ	0.64	11	0.392	12	0.703	7	0.812	2	0.55	15	0.322	16
Y_Ⅱ	0.479	18	0.357	15	0.817	2	0.721	6	0.671	10	0.182	23
Y_Ⅲ	0.689	9	0.088	24	0.605	11	0.858	1	0.591	12	0.289	19
B_Ⅰ	0.754	5	0.739	5	0.313	18	0.339	14	0.795	2	0.561	7
B_Ⅱ	0.363	22	0.444	11	0.314	17	0.203	23	0.544	16	0.414	11
B_Ⅲ	0.425	21	0.207	22	0.291	19	0.324	16	0.736	7	0.312	18
L_Ⅰ	0.752	6	0.266	19	0.237	22	0.367	12	0.751	5	0.433	9
L_Ⅱ	0.567	15	0.379	14	0.227	23	0.329	15	0.531	17	0.267	22
L_Ⅲ	0.351	23	0.314	17	0.261	21	0.315	19	0.735	8	0.313	17
P_Ⅰ	0.736	7	0.844	2	0.411	12	0.323	17	0.572	14	0.766	3
P_Ⅱ	0.797	3	0.694	9	0.763	5	0.347	13	0.415	20	0.74	6
P_Ⅲ	0.588	13	0.222	20	0.79	3	0.3	20	0.794	3	0.548	8
S_Ⅰ	0.673	10	0.849	1	0.283	20	0.291	21	0.499	19	0.929	1
S_Ⅱ	0.802	2	0.827	3	0.403	13	0.177	24	0.095	24	0.741	5
S_Ⅲ	0.206	24	0.711	8	0.189	24	0.317	18	0.356	21	0.861	2

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表 6 “素雅的且经典的”样本综合排序结果

编号	U_i	编号	U_i	编号	U_i
S_Ⅰ	1.778	R_Ⅰ	1.126	R_Ⅲ	0.639
P_Ⅰ	1.610	W_Ⅱ	1.119	L_Ⅲ	0.627
S_Ⅲ	1.572	B_Ⅱ	0.858	Y_Ⅱ	0.539
S_Ⅱ	1.568	P_Ⅲ	0.770	B_Ⅲ	0.519
W_Ⅰ	1.478	O_Ⅰ	0.730	O_Ⅱ	0.494
P_Ⅱ	1.434	Y_Ⅰ	0.714	R_Ⅱ	0.453
B_Ⅰ	1.300	L_Ⅰ	0.699	Y_Ⅲ	0.377
W_Ⅲ	1.178	L_Ⅱ	0.646	O_Ⅲ	0.374

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