Integrated Application of Eye Movement Analysis and Beauty Estimation in the Visual Landscape Quality Estimation of Urban Waterfront Park

Abstract

Beauty estimation is a common method for landscape quality estimation, although it has some limitations. With eye tracker, the visual behaviors of the subjects during the estimation can be recorded. Through the analyses of heat maps, path maps and eye movement data, the psychological changes of the subjects and the underlying law of beauty aesthetic can be understood, which will provide supplementation to beauty estimation. This paper studied the beauty estimation of urban waterfront parks and proofed that the landscape quality estimation method focussing on beauty estimation and assisted by eye movement tracking is feasible. It can improve the objectiveness and accuracy of landscape quality estimation to some extent and provide a comprehensive understanding of the effects and combination law of landscape characteristic elements.