157 p = 0.001), respectively.Ĭolor and light are two ambient attributes for interior spaces that can be used in the design and modification of workspaces. The order of the factors that explained the variation in agreement was the 1st factor (ß =. The direction and size of the correlations between the factors were determined with the correlation analysis, multiple regression analysis was conducted to determine the effect of the factors on others, and it was determined that there was a positive significant correlation between 1st factor and agreement and a negative significant correlation between the 2nd and 3rd factor groups and agreement. The statistical analyses revealed that there was a difference between the mean association scores of the participant and the expert groups in 3 factor groups at 0.05 significance level (sig. Also, the differences between the agreement levels of the two groups with the associations and the differences between the associations were determined. In the second stage, the final 5-point Likert-type survey form was applied to the expert group (N = 200) and the participants (N = 200) to determine the agreement of these two groups with the associations. Thus, the final scale included 34 associations in 3 dimensions. Furthermore, 102 statements with a factor load of below 0.30 were excluded. The factor analysis was also conducted to reduce the number of statements in the scale. Thus, the survey form that will be used in the second study stage was finalized. Thus, three factor groups were determined. The developed 5-point Likert-type scale was submitted for expert opinion (N = 200), and factor analysis was conducted on the findings to determine correlated sub-factors and categorized in the same factor. In the first stage, a literature review was conducted to determine the associations that landscape colors evoke in individuals and each association was converted into a statement for each color. In the present study, a two-tiered research method was adopted. Accordingly, it was determined that especially females and interior architects preferred even more the spaces with warm colors having a low usage rate. Furthermore, it was observed that the differences in the color hues used on the walls and the usage rates were changing according to genders and professions. Despite this, it was determined that the spaces where warm colors were used at the rates of 50% and 100% were perceived as more informal. The spaces where warm and cool colors were used at the rate of 10% were perceived as more spacious and beautiful compared to the spaces where colors were used at the rates of 50% and 100%, whereas it was observed that when the values received were from positive to negative, they were listed in the form of 10% > 50% > 100%. In conclusion, it was determined that the living spaces which were colored at a low rate were perceived more positively according to the Semantic Differentiation Scales compared to the completely colored spaces. A total of 233 subjects participated in the research questionnaire and the data obtained was analyzed. With this objective, a living space was designed in a manner that would have three different color hues (warm, neutral, and cool) and usage rates at 10%, 50%, and 100% and digital visuals were prepared. In this study, it was aimed to determine the effects of color hues and usage rates in interior spaces on the spatial perceptions of users.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |