Impact of environment color on individual responses in public spaces of shopping malls

It is widely believed that people have preferences in relation to the colour of their interior environment. With the development of the global small apartment industry, it is important to understand well people's colour preference for apartments. This study investigated the apartment colour preference (N = 958) and the arousal level measured as heart rate variability for 70 young Chinese people for 21 colours. The findings indicate that young Chinese people (22‐27 years of age) prefer light red, red, yellow, and gray areas of the colour space, and least prefer darker colours in the green, gray, and brown areas of the colour space. In terms of heart rate variability arousal, it was found that colours in the red, purple, and yellow areas of the colour space had the highest effect on heart rate variability arousal, vs gray and brown colours, which were found to have the lowest effect on arousal levels.

Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Limitations and Future Directionsmentioning

confidence: 99%

Section: Limitations and Future Directionsmentioning

confidence: 99%

See 2 more Smart Citations

Young people's colour preference and the arousal level of small apartments

Jiang

Yao

Hemingray

et al. 2021

“…In terms of experimental environment, most of the studies were carried out in the laboratory where interviewees conducted color evaluation experiments 6,32,33 . Yi et al studied the impact of environmental colors on individual responses in shopping malls, and showed participants photos taken by field surveys in the laboratory to analyze their responses to colors 34 . Some studies are conducted both online and offline to compare the preference differences in different environments 35,36 …”

Section: Related Workmentioning

confidence: 99%

Color preference and contributing factors of urban architecture based on the selection of color samples—Case study: Shanghai

Gou

Shi

Wang

et al. 2021

The research on citizens' color preference is an important prerequisite for the scientific formulation of urban color planning. Color preferences are normally identified over the Internet or through questionnaire surveys and adjective descriptions. But the analysis has its limitations due to the uncertainty of color descriptions. Based on the quantitative analysis of the three attributes of hue, blackness, and chromaticness, this article obtains the inherent law of color preference of citizens, and compares it with the results of color adjective preference done by our research group before, which can supplement the accuracy of adjective description, so as to provide a reference for the color positioning of urban color planning. This article obtains the three attributes of color samples chosen by the public in the form of questionnaires as well as color sample selections. Among which 36 representative sites in Shanghai were selected according to the six types of land use. Adopting a more detailed method of dividing nine color series, viz. yellow (Y), red‐yellow (YR), red (R), red‐blue (RB), blue (B), blue‐green (BG), green (G), green‐yellow (GY), and the neutrals (WS). Moreover, chi‐square test and multiple logistic regression model were used to analyze the color preference factors and explore the relationship between citizen attributes and the three attributes of color sample selection. Research findings are as follows: (a) The citizens' favorite colors of urban architecture center round red, high whiteness, and mid‐low chromaticness. (b) The main factors that influence citizens' hue preference include gender, age, and monthly income; the main factors that influence citizens' blackness preference include: questionnaire distribution points, the frequency of coming to Shanghai, and whether to go abroad; gender and age are the main factors that affect citizens' chromaticness preference. (c) Compared with the previous studies on adjective selection among citizens, it is found that the effect of gender, age, monthly income, and educational background on color preference is similar; differences are in the occupational types, frequency of coming to Shanghai, and whether travels abroad.

An intelligent color design method for visual communication design for public crisis

Qiao

Chen

Sun

et al. 2022

During a crisis, people's emotions are dynamically affected by changes in the environment, and by the attributes of object and subject in ways that depend on an emotion's essential characteristics. Negative emotions can cause psychological harm to people, but specific visual colors can instantaneously dispel or reduce those negative emotions. We developed a color design method based on a hybrid intelligent algorithm to predict accurately the significant negative emotions of people during a public crisis, and to explore the relationship between color structure and negative emotions developed. A Fuzzy Bayesian Network prediction model was constructed of people's significant negative emotions during a public crisis. Then, the concept of color cube was proposed that related color combinations to particular emotions. Finally, based on the emotion arousal experiment and the BP neural network, the nonlinear mapping relationship between negative emotion and color cube was analyzed to predict the fading versus stimulating color structure of the significant negative emotions. This mapping provides a reference for the color design of visual communications during a public crisis. Our results show that the prediction model of emotions and color design method were effective.