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

Author

Listed:
  • 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
    Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China)

  • Jianwen Dong

    (College of Landscape Architecture, Fujian Agriculture and Forestry University, 15 Shangxiadian Rd., Fuzhou 350002, China
    Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China)

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.

Suggested Citation

  • Xinhui Fei & Yanqin Zhang & Deyi Kong & Qitang Huang & Minhua Wang & Jianwen Dong, 2023. "Quantitative Model Study of the Psychological Recovery Benefit of Landscape Environment Based on Eye Movement Tracking Technology," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11250-:d:1197753
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    References listed on IDEAS

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    1. Shilun Zhang & Xiaolong Zhao & Zixi Zeng & Xuan Qiu, 2019. "The Influence of Audio-Visual Interactions on Psychological Responses of Young People in Urban Green Areas: A Case Study in Two Parks in China," IJERPH, MDPI, vol. 16(10), pages 1-14, May.
    2. Maraja Riechers & Werner Henkel & Moritz Engbers & Joern Fischer, 2019. "Stories of Favourite Places in Public Spaces: Emotional Responses to Landscape Change," Sustainability, MDPI, vol. 11(14), pages 1-11, July.
    3. Sarah R. Payne & Neil Bruce, 2019. "Exploring the Relationship between Urban Quiet Areas and Perceived Restorative Benefits," IJERPH, MDPI, vol. 16(9), pages 1-25, May.
    4. Yu Wu & Zhixiong Zhuo & Qunyue Liu & Kunyong Yu & Qitang Huang & Jian Liu, 2021. "The Relationships between Perceived Design Intensity, Preference, Restorativeness and Eye Movements in Designed Urban Green Space," IJERPH, MDPI, vol. 18(20), pages 1-16, October.
    5. G.-Fivos Sargentis & Panayiotis Dimitriadis & Romanos Ioannidis & Theano Iliopoulou & Demetris Koutsoyiannis, 2019. "Stochastic Evaluation of Landscapes Transformed by Renewable Energy Installations and Civil Works," Energies, MDPI, vol. 12(14), pages 1-13, July.
    6. Izabela Krzeptowska-Moszkowicz & Łukasz Moszkowicz & Karolina Porada, 2022. "Urban Sensory Gardens with Aromatic Herbs in the Light of Climate Change: Therapeutic Potential and Memory-Dependent Smell Impact on Human Wellbeing," Land, MDPI, vol. 11(5), pages 1-21, May.
    7. Spielhofer, R. & Thrash, T. & Hayek, U. Wissen & Grêt-Regamey, A. & Salak, B. & Grübel, J. & Schinazi, V.R., 2021. "Physiological and behavioral reactions to renewable energy systems in various landscape types," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Höfer, Tim & Sunak, Yasin & Siddique, Hafiz & Madlener, Reinhard, 2016. "Wind farm siting using a spatial Analytic Hierarchy Process approach: A case study of the Städteregion Aachen," Applied Energy, Elsevier, vol. 163(C), pages 222-243.
    9. Coline van Everdingen & Peter Bob Peerenboom & Koos van der Velden & Philippe Delespaul, 2023. "Vital Needs of Dutch Homeless Service Users: Responsiveness of Local Services in the Light of Health Equity," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    10. Zhengsong Lin & Yuting Wang & Xinyue Ye & Yuxi Wan & Tianjun Lu & Yu Han, 2022. "Effects of Low-Carbon Visualizations in Landscape Design Based on Virtual Eye-Movement Behavior Preference," Land, MDPI, vol. 11(6), pages 1-17, May.
    11. Massimiliano Masullo & Federico Cioffi & Jian Li & Luigi Maffei & Giovanni Ciampi & Sergio Sibilio & Michelangelo Scorpio, 2023. "Urban Park Lighting Quality Perception: An Immersive Virtual Reality Experiment," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    12. Tian Gao & Huiyi Liang & Yuxuan Chen & Ling Qiu, 2019. "Comparisons of Landscape Preferences through Three Different Perceptual Approaches," IJERPH, MDPI, vol. 16(23), pages 1-13, November.
    13. Maarten Wolsink, 2018. "Co-production in distributed generation: renewable energy and creating space for fitting infrastructure within landscapes," Landscape Research, Taylor & Francis Journals, vol. 43(4), pages 542-561, May.
    14. Rui Chen & Yu Gao & Ruixin Zhang & Zhi Zhang & Weikang Zhang & Huan Meng & Tong Zhang, 2023. "How Does the Experience of Forest Recreation Spaces in Different Seasons Affect the Physical and Mental Recovery of Users?," IJERPH, MDPI, vol. 20(3), pages 1-24, January.
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