How Vegetation Colorization Design Affects Urban Forest Aesthetic Preference and Visual Attention: An Eye-Tracking Study

Author:

Chen Ziru1,Huang Yaling2,Shen Yuanping1,Fu Weicong23,Yao Xiong1,Huang Jingkai2,Lan Yuxiang1,Zhu Zhipeng1,Dong Jiaying4ORCID

Affiliation:

1. College of Architecture and Planning, Fujian University of Technology, Fuzhou 350108, China

2. College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China

3. Collaborative for Advanced Landscape Planning, Faculty of Forestry, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada

4. School of Architecture, Clemson University, Clemson, NC 29634, USA

Abstract

The enhancement of the urban forest landscape through vegetation colorization has emerged as a continuous concern for urban managers in southern Chinese cities. However, the understanding of how designers can effectively select the appropriate form and intensity of colorization design to align with users’ aesthetic preferences remains limited. The process of visual perception is closely intertwined with eye movements. Employing visualization techniques, this research aims to investigate the impact of colorization design on aesthetic benefits and eye movements in urban forests, considering four intensities (slight, low, medium, and high) and three forms (aggregate, homogeneous, and random). A total of 183 participants (with an average age of 23.5 ± 2.5 years) were randomly assigned to three groups to assess the aesthetics score, while eye-tracking devices were utilized to record eye movement behaviors. The outcomes indicate that a homogeneous design form and a moderate intensity of landscaping yield higher scenic benefits for urban forests. In the case of canopy landscape, both the form and intensity of landscaping have a significant influence on urban forest aesthetics. The HCI with aggregate form showed the best marginal effect (1.313). In contrast, MCI showed the best marginal effect when the design form was random and homogeneous (1.438, 1.308). Furthermore, although the form and intensity of the colorization design significantly affect eye exploration, the perception of landscape aesthetics does not correlate with eye movements. These findings provide valuable insights for design policies aimed at promoting the urban forest landscape, while also contributing to the enrichment of research in landscape perception studies employing eye-tracking technology.

Funder

Education Department of Fujian Province

Fujian University of Technology

Green Urbanization across China and Europe: Collaborative Research on Key Technological Advances in Urban Forests

Horizon 2020 strategic plan

European urban futures

Publisher

MDPI AG

Subject

Forestry

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