Research on cognitive evaluation of forest color based on visual behavior experiments and landscape preference
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Forest colors are important elements for public enjoying the scenery. So increasing attention has been acquired on forest color cognization . However, related research based on eye tracking technology is still limited. Therefore, We seek to examine the relationship between visual behavior and forest color, 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 programming 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. This study is purposed to figure out th' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["color  cognitive","eye-tracking","forest color"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Forest colors are important elements for public enjoying the scenery. So increasing attention has been acquired on forest color cognization . However, related research based on eye tracking technology is still limited. Therefore, We seek to examine the relationship between visual behavior and forest color, 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 programming 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. This study is purposed to figure out th' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Forest colors are important elements for public enjoying the scenery. So increasing attention has been acquired on forest color cognization . However, related research based on eye tracking technology is still limited. Therefore, We seek to examine the relationship between visual behavior and forest color, 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 programming 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. This study is purposed to figure out th
color  cognitive; eye-tracking; forest color