Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (5): 1315-1321.doi: 10.13229/j.cnki.jdxbgxb.20230188

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Color design of human⁃computer interaction interface for intelligent cockpit of unmanned vehicle

Hui ZHANG1(),Zhi-ling NIE1,Hong-wei XIAO2,Dan-xing WANG1()   

  1. 1.CAV Development Research Institute,China FAW Group Corporation,Changchun 130062,China
    2.College of Automotive Engineering,Jilin University,Changchun 130022,China
  • Received:2023-03-03 Online:2023-05-01 Published:2023-05-25
  • Contact: Dan-xing WANG E-mail:wenzhangjida2022@163.com;wangdanxing@faw.com.cn

Abstract:

Through the research on color matching evaluation of automotive human-machine interface (HMI) systems, the user experience of the display interface is improved. Based on the mechanism of color preference among different populations, three hypotheses about people's color preference are proposed. Then a crowdsourcing survey was conducted. Descriptive statistics and chi-square tests were used to compare the color choices of different groups in the four parts of the interface. The selection of fuel quantity signs is mainly in red, and the background color, instrument light, and road display are mainly in blue and green. There are also significant differences in color preferences among residents of different genders and regions. Warm colors are recommended for warning parts, while cool colors are recommended for other parts. Various interface color schemes are conducive to meeting different user needs.

Key words: intelligent cockpit, human-machine interaction interface, color design, crowdsourcing survey

CLC Number: 

  • U46

Fig.1

Data acquisition interface"

Table 1

Basic information"

变量总人数变量类别分组人数分组比例/%
年龄82817~25岁22326.9
26~35岁34241.3
36~67岁26331.8
性别828男性45054.3
女性37845.7
地区828南方52062.8
北方30837.2

Fig.2

Thermal diagram of data distribution"

Table 2

Background color selection"

参与者蓝色深蓝色紫色合计
合计153(18.5%)110(13.3%)10.9(13.2%)372
南方85(16.3%)58(11.1%)61(11.7%)204
北方68(22.1%)52(16.9%)48(15.6%)168

Table3

Road display color selection"

参与者蓝色深蓝色绿色合计
合计132(15.9%)101(12.2%)92(11.1%)325
南方59(11.4%)47(9.0%)81(15.6%)187
北方73(23.7%)54(17.5%)11(4.0%)138

Table 4

Oil quantity mark color selection"

参与者红色橙色黄色合计
合计136(16.4%)77(9.0%)66(8.0%)279
南方53(10.2%)56(10.8%)46(9.0%)155
北方83(27.0%)21(7.0%)20(6.0%)124

Table 5

Instrument light color selection"

参与者蓝色深蓝色绿色合计
合计157(19.0%)103(12.4%)80(10.0%)340
南方73(14.0%)64(12.3%)63(12.1%)200
北方84(27.3%)39(12.7%)17(6.0%)140

Table 6

Chi-square test result"

项目统计量自由度P
背景颜色0.2820.867
道路显示48.962<0.001
油量标志29.692<0.001
仪表灯23.432<0.001

Table 7

Background color selection"

参与者蓝色深蓝色紫色合计
合计153(18.5%)110(13.3%)109(13.2%)372
男性91(17.5%)64(14.2%)57(12.7%)212
女性62(20.1%)46(12.2%)52(13.8%)160

Table 8

Road display color selection"

参与者蓝色深蓝色绿色合计
合计132(15.9%)101(12.2%)92(11.1%)325
男性76(16.9%)54(12.0%)51(11.3%)181
女性56(14.8%)47(12.4%)41(10.8%)144

Table 9

Oil quantity mark color selection"

参与者红色橙色黄色合计
合计136(16.4%)77(9.0%)66(8.0%)279
男性91(20.2%)34(8.0%)33(7.0%)158
女性45(12.0%)43(11.4%)33(9.0%)121

Table 10

Instrument light color selection"

参与者蓝色深蓝色绿色合计
合计157(19.0%)103(12.4%)80(10.0%)340
男性89(19.8%)52(11.6%)43(10.0%)184
女性68(18.0%)51(13.5%)37(10.0%)156

Table 11

Chi-square test result"

项目统计量自由度P
背景颜色1.4320.489
道路显示0.3920.821
油量标志11.920.003
仪表灯26.72<0.001

Table 12

Color selection ratio of different instrument parts"

颜色仪表灯道路显示油量标志背景颜色
红色8.05.316.76.5
橙红色4.63.45.63.0
橙色5.44.69.27.0
橙黄7.25.94.35.8
黄色9.39.88.26.3
绿色9.711.19.34.6
深绿色6.38.37.95.8
青绿色7.710.16.58.9
蓝色18.815.910.918.5
深蓝色12.412.29.113.3
紫色5.08.76.213.3
紫红色5.64.66.37.0

Fig.3

Ideal design scheme for female grouping"

Fig.4

Ideal design scheme for male grouping"

Fig.5

Ideal design scheme in North China"

Fig.6

Ideal design scheme in South China"

1 李彦龙, 高想, 张晔峰. 基于消费者心理的汽车色彩偏好量化研究[J]. 设计, 2019, 32(20): 110-112.
Li Yan-long, Gao Xiang, Zhang Ye-feng, et al.Research on quantitative method of automobile color selection based on Consumer psychology[J]. Design, 2019, 32(20): 110-112.
2 古大治. 色彩与图形视觉原理色彩与图形视觉原理:关于看的艺术与科学[M].北京: 科学出版社, 2000.
3 赵晨音. UI用户界面色彩设计研究[J]. 流行色, 2017(12): 112-117.
Zhao Chen-yin. Research on color design of UI user interface[J]. Fashion Colour, 2017(12): 112-117.
4 许向阳. 与视觉认知过程相关的图像色貌建模的研究[D]. 广州: 华南理工大学轻工科学与工程学院, 2016.
Xu Xiang-yang. A research of image color appearance modeling based on cognition processing of human vision[D]. Guangzhou: School of Light Industry and Engineering, South China University of Technolgy, 2016.
5 冯剑红, 李国良, 冯建华. 众包技术研究综述[J]. 计算机学报, 2015, 38(9): 1713-1726.
Feng Jiang-hong, Li Guo-liang, Feng Jian-hua.A survey on crowd sourcing[J]. Chinese Journal of Computers, 2015, 38(9): 1713-1726.
6 von Hippel E. Democratizing innovation: the evolving phenomenon of user innovation[J]. Journal Fur Betriebswirtschaft, 2005, 55: 63-78.
7 Manav B. Color-emotion associations and color preferences: a case study for residences[J]. Color Research and Application, 2007, 32(2): 144-150.
8 Fortmann-Roe S. Effects of hue, saturation, and brightness on color preference in social networks: gender-based color preference on the social networking site Twitter[J]. Color Research & Application, 2013, 38(3): 196-202.
9 Hurlbert A C, Ling Y. Biological components of sex differences in color preference[J]. Current Biology, 2007, 17(16): 623-625.
10 Guan S S, Huang P S. Influences of psychological factors on image color preferences evaluation[J]. Color Research & Application, 2010, 35(3): 213-232.
11 Hanada M. Correspondence analysis of color-emotion associations[J]. Color Research & Application, 2018, 43(2): 224-237.
12 Manav B. Color-emotion associations and color preferences: a case study for residences[J]. Color Research & Application, 2007, 32(2): 144-150.
13 Hines M, Pasterski V, Spencer D, et al. Prenatal androgen exposure alters girls responses to information indicating gender-appropriate behaviour[J]. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 2016, 371(1688): 20150125.
14 Wang S F, Ding R. A qualitative and quantitative study of color emotion using valence-arousal[J]. Frontiers of Computer Science, 2012, 6(4): 469‒476.
15 王平, 杨君顺, 高晋. 色彩心理学在产品设计中的应用[J]. 轻工机械, 2008, 92(2): 5-7.
Wang Ping, Yang Jun-shun, Gao Jin. The application of color psychology in product design[J]. Light Industry Machinery, 2008, 92(2): 5-7.
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