## 6 Conclusions  
In this study, we combined survey data and eye-tracking technology to identify the landscape preferences of different people for different spaces based on a quantitative evaluation of the eye-tracking data and subjective satisfaction of the different user groups in the rural public space of Huangshandian Village in Beijing, China. The results show that eye-tracking technology can provide an effective measurement method for the landscape preference of different people in different spaces and can also provide a direct quantitative evaluation and empirical support for the landscape preference theory, and we accordingly propose specific strategies for its landscape optimization. The main conclusions and implications of this study are as follows:  
1. The subject's eye-movement data differed when observing different types of rural public space landscapes, and there were also differences in the eye-movement data for the same spatial scene among different types of subjects. The subjects cognitively worked hardest on the spatial landscape of streets and alleys, and their visual information was mostly focused on the places where the focal points of vision were prominent. Both the visitors and local residents were more interested in the public green spaces, which means that the landscape features of the public green spaces are more obvious. The local residents searched for information on the public green space and waterfront space landscapes more than the tourists, and the information searches were more frequent. The subjects were interested in four types of spaces, which were, in descending order: the public green space, waterfront space, street space, and square space. In terms of the subjective evaluations, the subjects had the lowest subjective evaluations and satisfaction with the square space, and the highest satisfaction with the street space, which indicates there are similarities between the objective eye-movement-analysis results and the subjective-evaluation results. 2. The overall results of the eye-movement-hotspot view and trajectory map showed that the subject's visual information was biased toward the center of the spaces and the points where their vision disappeared. The visitors were more concerned with the function of the rural public space recreation services and the appearance of the countryside, while the local residents were more concerned with the functional practicality of the site and the suitability of the human living environment. The architecture of the square space and the undulating structures are the main visual attraction elements. The details of the street space, and especially the doors, windows, and structures on both sides, are the main factors that attract people's vision. For spaces with long depths and open sight lines, the subject's visual information was mostly focused on the green landscape and architectural elements. For the waterfront space, the visual information was mostly biased towards the distant barge, skyline, plant groups, and other landscape aspects with multielement integration. 3. This study is important for understanding users' landscape perceptions and guiding landscape design. It is hoped that the results of this study will help rural planners as well as designers to more clearly understand the relationship between landscape preference elements and users' subjective perceptions, and to fully understand the activity needs and landscape preferences of visitors and villagers within the public space landscape. Moreover, it is hoped that the eye-tracking technology will be incorporated into the planning and management practice of rural landscape, and that the research methods such as landscape visual information and subjective evaluation will be used to reasonably organize each landscape element for different spatial types in order to precisely improve the spatial landscape characteristics.