## 5 Discussion
### Correlation Analysis of Eye-Tracking Data and Subjective Satisfaction for Public Space
According to the subjective evaluations of the square space and public green space, there was a significant positive correlation with the average saccade amplitude, and the Pearson correlation coefficient for the square space was higher than that of the public green space, whereas in the previous analysis of the eye-movement data, the average saccade-amplitude values of the subjects in the square space were the smallest compared with other types of spatial spaces, which is due to the following: first, the subjective evaluation of the square space by the subjects was more varied; second, the average saccade amplitude in the eye-movement data analysis was small, indicating that the spatial composition of the open square space was more distinct and people could reach the target area at a glance. However, in terms of subjective evaluation, some subjects may not think that there are too many ornamental elements in the open square space scene. The use of eye tracking in this study revealed that the perception of the public space landscape is influenced by various visual features. According to the eye-movement heat and trajectory maps above, the subjects paid more attention to the green landscape in the areas of public space interest, and favorable landscape structures, such as buildings and vignettes. Plant materials, buildings, pavements, and water features are the main elements of landscape architectural design [80], and they have different effects on the landscape evaluation. In previous studies, researchers found that natural elements and artificial elements have different emotional impacts on people's perceptions, with natural elements (such as vegetation and water bodies) ranking positively, and artificial elements (such as cars, parking, and billboards) ranking negatively [81; 82]. Moreover, in previous environmental psychology studies, researchers found that people spent more time and had fewer fixation counts when observing natural scenes compared with urban scenes; thus, the subjects required less eye movement when viewing natural environments [83; 84; 85]. [PERSON] et al. found that the respondents spent the most time on natural elements, such as trees, with trees ranking highest in the element assessment, and artificial elements, such as paths, ranking lower [86]. [PERSON] et al. found that the eye is attracted to artificial objects, such as light poles, trash cans, and signage, which have sharp edges and contrast in color with the surrounding vegetation or environmental background [38]. These results are all consistent with the findings of this study; thus, eye tracking is associated with both vegetation greenery and hardscape elements. The results contribute to the understanding of people's emotional perceptions of the landscape during the evaluation process. In conclusion, the eye-movement data can indirectly reflect the psychological changes in the subjects through the analysis of the relevant software, which is not analyzed using the subjective valence method. The combination of eye-movement analysis and subjective evaluation can reflect the psychological feelings of the subjects towards each element in the landscape pictures, which has strong guiding significance for landscape design.