Influences of psychological factors on image color preferences evaluation

This study investigated the effect of age and application type on the color design of user interfaces for children's applications. We collected 223 popular children's applications from the Apple App Store, focusing on children of three age groups (3‐5, 6‐8, and 9‐11 years old). There were two types of applications: educational applications and game applications. To explore further and compare the differences between children and adults, we also collected color data on 58 adult applications (29 educational applications and 29 game applications). Due to the characteristics of the specific model, this article selects the HSB (Hue, Saturate, Bright) color model—which is composed of hue, saturation, and brightness, with a high degree of matching with the color vision of the human eye—to analyze the color of the application interfaces. According to the statistics, in terms of hue, different types of application interfaces use different frequencies of colors. Multicolor educational application interfaces use cool colors, such as blue; multicolor game application interfaces use warm colors, such as red and orange; and so on. In terms of saturation, the frequency of high saturation in children's user interfaces is higher than that in adult user interfaces. In terms of brightness, children's application interfaces often use brighter colors. We also compared the statistical results with traditional color cognitive conclusions and discussed the possible reasons.

Section: Introductionmentioning

confidence: 99%

Color design in application interfaces for children

Lyu

Liu

2021

A methodology for predicting the color trend to get a three‐colored combination

Hsiao

Yang

2016

A color design/selection system for predicting the color trend based on aesthetic measures is proposed in this article. In this method, the analytic hierarchy process theory was used to evaluate the weights for four major consumption style factors in human environment, including Economy, Education, Culture, and Technology. Then 10 product imageries were selected by using the questionnaire, and mapped the images and the factors with the weighted results and clustered both variables with the corresponding ranks. During the implementation procedure, 111 colors samples covering the entire domain of the PCCS (Practical Color Co-ordinate System) color system were taken, and the aesthetic measure for three-colored harmony based on aesthetic measure theory was calculated. Then 200 tri-colored combinations were divided into 10 clusters by using fuzzy clustering. The three-colored products were then mapped into each cluster with the calculated grand average and Standard Deviation of the imagery values obtained for the threecolored products. According to the above implementation logic, the relationship among the consumption style factors, the images, as well as the tri-colored cars can be obtained, and then used to construct a color trend based on market requirement. With the aid of this system, one can get a three-colored car to match his/her requirement. Although the selection of three-colored car is taken as an example to specify the methodology, it can also be used to develop a system for other products.

Research on the colour preference and harmony of the two‐colour combination buildings

Zheng

Wang

et al. 2022

This study used computer software to design building models with selected colour parameters based on a two‐colour pattern combination, which was then presented on a standard computer screen. Further, the two‐colour combination pattern was adopted to prepare building simulation pictures with 153 colour combinations. A total of six hues were extracted based on the Natural Colour System, and there were also 18 colour samples with different lightness and saturation degrees. The results of the study found that hue difference, lightness difference, chroma difference, and total colour difference have a significant effect on harmony. On the other hand, hue difference, chroma difference, and total colour difference have a significant effect on preference. It is worth noting that lightness difference and architectural colour preferences were negatively related. In addition, there was a high correlation between architectural colour harmony and preference.