Quantitative Model Study of the Psychological Recovery Benefit of Landscape Environment Based on Eye Movement Tracking Technology

Xinhui Fei, Yanqin Zhang, Deyi Kong, Qitang Huang, Minhua Wang and Jianwen Dong ()
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Xinhui Fei: College of Landscape Architecture, Fujian Agriculture and Forestry University, 15 Shangxiadian Rd., Fuzhou 350002, China
Yanqin Zhang: College of Landscape Architecture, Fujian Agriculture and Forestry University, 15 Shangxiadian Rd., Fuzhou 350002, China
Deyi Kong: College of Landscape Architecture, Fujian Agriculture and Forestry University, 15 Shangxiadian Rd., Fuzhou 350002, China
Qitang Huang: College of Landscape Architecture, Fujian Agriculture and Forestry University, 15 Shangxiadian Rd., Fuzhou 350002, China
Minhua Wang: College of Landscape Architecture, Fujian Agriculture and Forestry University, 15 Shangxiadian Rd., Fuzhou 350002, China
Jianwen Dong: College of Landscape Architecture, Fujian Agriculture and Forestry University, 15 Shangxiadian Rd., Fuzhou 350002, China

Sustainability, 2023, vol. 15, issue 14, 1-19

Abstract: From the perspective of landscape and human health, we use the Self-Rating Restoration Scale (SRRS) as a tool to explore the mental health restoration benefits brought by a landscape environment to individuals and explore the characteristics of individual movement behavior when viewing the landscape through the eye movement tracking technology. We selected average blink duration, average gaze length, average saccade amplitude, blink number, number of fixation points, saccade number, and average pupil diameter as experimental indicators for data monitoring. Based on the eye movement heat map obtained by data visualization processing and the results of correlation analysis, we summarized the eye movement behavior characteristics of individuals when viewing the restorative landscape. We try to construct a quantitative evaluation model of the landscape mental recovery benefit with the objective eye movement index as the independent variable through the method of curve estimation. The study results show that individual eye movement behavior is related to the landscape type and the level of psychological recovery is also different. (1)The more singular that the constituent elements are, the more widespread and concentrated the regional distribution of individual attention areas, and the relative psychological recovery benefit is relatively weak. The more complex that the constituent elements are, the more scattered and smaller the individual interest area, and the psychological recovery benefit is better. Brightly colored, dynamic landscapes are easier to form areas of interest to improve the psychological response to the human body. (2) The psychological recovery benefit of the landscape is directly proportional to the changing trend of the average blink duration, number of fixation points, and number of saccades and is inversely proportional to the changing trend of the average gaze length. (3) The objective eye movement index of average blink duration can quantitatively predict the psychological recovery benefit value of the landscape environment. The number of fixation points, the number of saccades, and the average fixation length could predict the psychological recovery benefits of the landscape, while the other indicators had no prediction effect.

Keywords: urban landscape space; mental health; restorative environment; eye movement technology (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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