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目的:探讨正常人群对室内环境色的偏好特点及其影响因素。方法:纳入1005名健康成年人进行室内环境色偏好测验,采用自制一般情况问卷、艾森克人格问卷分别进行调查和测量。结果:(1)正常人群室内环境色偏好顺序(珔x)为蓝(4.15)、绿(4.38)、白(4.42)、橙(4.46)、黄(4.51)、紫(4.69)、红(5.10)、黑(6.62)、灰(6.70)。不同性别(U=2.398,P<0.05)、不同年龄(χ~2=20.56,P<0.01)、不同受教育程度(χ~2=19.8,P<0.05)、不同气质类型(χ~2=32.01,P<0.001)的被试颜色偏好顺序均倾向一致;(2)不同性别被试在橙、黑、紫色偏好程度上差异显著(Z=2.034,4.981,2.094;P=0.042,0.000,0.036),不同年龄被试在橙、黄、黑色偏好程度上差异显著(χ~2=9.599,11.291,18.999;P=0.008,0.004,0.000),不同受教育程度被试在橙、黄、紫、黑色偏好程度上差异显著(χ~2=8.696,7.778,11.080,11.823;P=0.013,0.020,0.004,0.003);(3)性别与橙色、黑色偏好显著相关(r=-0.064,0.157;P=0.042,0.000),年龄与橙、黄色偏好显著正相关(r=0.071,0.068;P=0.002,0.003),婚姻与蓝色、紫色偏好显著相关(r=0.079,-0.082;P=0.012,0.009),内外向、神经质与红色偏好呈显著负相关(r=-0.076,P=0.016),神经质与黄色偏好显著正相关(r=0.071,P=0.024),精神质与绿色偏好显著正相关(r=0.099,P=0.002),生活事件与蓝色(r=-0.056,P=0.039)显著负相关、与黑色(r=0.114,P=0.000)显著正相关,家庭关系与红色(r=0.056,P=0.042)显著正相关、与紫色(r=-0.057,P=0.034)显著负相关,经济状况与绿色(r=0.054,P=0.044)显著正相关、与紫色(r=-0.055,P=0.038)显著负相关。结论:正常人群对颜色的偏好有一些普遍的一致性,个体的生物学特征以及心理社会因素均对色彩偏好产生影响。
Objective: To explore the characteristics of the preferences of the general population on indoor environmental color and its influencing factors. Methods: A total of 1005 healthy adults were enrolled in this study. The self-made general situation questionnaire and the Eysenck Personality Questionnaire were respectively investigated and measured. Results: (1) The preference order of indoor environmental color for normal people (4.15), green (4.38), white (4.42), orange (4.46), yellow ), Black (6.62), gray (6.70). (Χ ~ 2 = 19.8, P <0.05), different genders (χ ~ 2 = 19.8, P 0. 05), different ages (χ ~ 2 = 20.56, 32.01, P <0.001). (2) The preferences of different sexes in orange, black and purple were significantly different (Z = 2.034,4.981,2.094; P = 0.042,0.000,0.036 ), Different age groups showed significant differences in preferences of orange, yellow and black (χ ~ 2 = 9.599,11.291,18.999; P = 0.008,0.004,0.000) There was a significant difference in the degree of preference for black (χ ~ 2 = 8.696,7.778,11.080,11.823; P = 0.013,0.020,0.004,0.003); (3) Sex was significantly correlated with orange and black preference (r = -0.064,0.157; P = 0.042,0.000). There was a significant positive correlation between age and orange and yellow preference (r = 0.071,0.068; P = 0.002,0.003). Marital status was significantly correlated with blue and purple preference (r = 0.079, -0.082; (R = -0.076, P = 0.016). There was a significant positive correlation between neuroticism and yellow preference (r = 0.071, P = 0.024). There was a significant positive correlation between mental quality and green preference (r = 0.099, P = 0.002), life events and blue (r = -0.056, P = 0.039) (R = 0.114, P = 0.000). There was a significant positive correlation between family and red (r = 0.056, P = 0.042), but negatively correlated with purple The economic status was significantly and positively correlated with green color (r = 0.054, P = 0.044) and negatively correlated with purple color (r = -0.055, P = 0.038). CONCLUSION: There is some general agreement on color preferences among normal people. Individual biological characteristics and psychosocial factors have an impact on color preference.