Litcius/Paper detail

Analysis and Optimization of Landscape Preference Characteristics of Rural Public Space Based on Eye-Tracking Technology: The Case of Huangshandian Village, China

Tingting Su, Kaiping Wang, Shuangshuang Li, Liang Wang, Huan Li, Huanru Ding, Yanfei Chen, Chenhui Liu, Min Liu, Yunlu Zhang

2022Sustainability22 citationsDOIOpen Access PDF

Abstract

As an important part of rural space, the public space landscape has a positive influence on tourists and local residents, and also has an important guiding significance for the sustainable development of rural areas. This study expands the previous research on rural public space, taking the “user-oriented” landscape preference as an important entry point, taking Beijing rural public space as the research object, using eye-tracking technology to objectively reflect the degree of users’ preference for the landscape, making quantitative analysis through eye-tracking objective data and subjective satisfaction evaluation to explore the subconscious and aesthetic laws of the subjects, and summarizing the internal driving factors leading to its evolution from the summary of phenomena. This paper explores the visual behavior information and significance behind the “subjective space” created by the countryside for the users, intending to provide strategies for landscape optimization and the management of rural public space in an effort to aid the sustainable development of the countryside.

Topics & Concepts

BeijingPreferenceSpace (punctuation)Sustainable developmentEye trackingSubconsciousChinaPublic spaceRural areaMarketingGeographyComputer scienceBusinessArtificial intelligencePolitical scienceEngineeringArchitectural engineeringEconomicsAlternative medicineArchaeologyPathologyLawMicroeconomicsOperating systemMedicineOlfactory and Sensory Function StudiesGaze Tracking and Assistive TechnologySpatial Cognition and Navigation