色调
亮度
眼动
计算机视觉
计算机科学
人工智能
色空间
光学
图像(数学)
物理
作者
Lin Zhang,Xin Li,Chengye Li,Tianyu Zhang
标识
DOI:10.1016/j.jobe.2022.105138
摘要
As a medium to improve the environmental quality of underground space, color affects people's comfort experience. In order to quantitatively study the relationship between color and visual comfort in subway space, this study used the eye-tracking technology to discuss more comfortable color attribute matching in subway space from three aspects of color saturation, brightness and hue. The standard subway station in Taiyuan of Shanxi province was used as the research object, and the relationship model between the three attributes of color and visual comfort was established through multiple regression analysis. The results show that when the saturation was 48%–60%, the brightness was 52%–68%, or the hue was orange, yellow and green, human visual perception was more comfortable. Moreover, it was also proved that the pupillary unrest index and saccade rate in the eye movement index were significantly negatively correlated characteristics with the user's comfort, which can be served as the evaluation parameters of visual comfort. At the same time, the validity of the established model was also verified by on-site investigation of 20 subway stations in Taiyuan, Xi'an and Chengdu, China. This research can provide a valuable index reference for practitioners' design decision-making process, and offer an effective method for the objective quantification of the future spatial color design.
科研通智能强力驱动
Strongly Powered by AbleSci AI