College of Landscape Architecture and Horticulture, Southwest Forestry University, Kunming, China.
PLoS One. 2022 Nov 3;17(11):e0276677. doi: 10.1371/journal.pone.0276677. eCollection 2022.
Forest colors are important elements for public enjoying the scenery. So increasing attention has been acquired on forest color cognition. However researches on relationship between forest colors and public response are still insufficient, which cannot provide sufficient theoretical basis for the regulation of forest landscape in color. Therefore, We seek to examine the relationship between forest color and visual behavior based on eye tracking technology, and further interpret the visual indicators through the value of scenic beauty. This study researched Jiaozi Mountain in China by selecting 29 sampling points, counting up 116 photographs in 4 seasons by a mountainous region. On this basis, Matlab was performed to quantitatively extract color elements, while ArcGIS and Fragstats were applied to extract the spatial index of color patches. A total of 10 indicators were obtained to explain the color characteristics of each forest image. Through both visual behavior experiment and landscape preference evaluation, the results showed that people tend to have different visual behaviors and preference cognition when observing forest colors of different seasonal types. Based on the study of forest landscape color in all seasons, the subjects tend to judge the image in comparison to other seasonal forest landscape color photos to identify it more easily. For a single-season forest colors, diversified color information and abundant visual attention are important factors influencing the correlation between visual behavior, landscape preference, and forest color characteristics. This study aims to further reveal people's perceptions and psychological preference to forest colors, contribute to the establishment of a more quantitative and scientific scenery evaluation system, and provide a scientific basis for forest color planning and design.
森林色彩是公众欣赏风景的重要元素。因此，人们越来越关注森林色彩认知。然而，森林色彩与公众反应之间的关系研究仍然不足，无法为森林景观色彩的调节提供充分的理论依据。因此，我们试图基于眼动追踪技术研究森林色彩与视觉行为之间的关系，并通过景观美感值进一步解释视觉指标。本研究以中国饺子山为研究对象，选取 29 个采样点，在山区拍摄了 4 个季节的 116 张照片。在此基础上，用 Matlab 定量提取色彩元素，用 ArcGIS 和 Fragstats 提取色彩斑块的空间指数。共获得 10 个指标，以解释每张森林图像的色彩特征。通过视觉行为实验和景观偏好评价，结果表明，人们在观察不同季节类型的森林色彩时，会有不同的视觉行为和偏好认知。在对四季森林景观色彩的研究中，受试者倾向于将图像与其他季节的森林景观色彩照片进行比较，以更容易地识别它。对于单一季节的森林色彩来说，多样化的色彩信息和丰富的视觉注意力是影响视觉行为、景观偏好和森林色彩特征之间相关性的重要因素。本研究旨在进一步揭示人们对森林色彩的感知和心理偏好，有助于建立更定量和科学的景观评价体系，并为森林色彩规划和设计提供科学依据。
