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ORIGINAL RESEARCH article

Front. For. Glob. Change
Sec. People and Forests
Volume 7 - 2024 | doi: 10.3389/ffgc.2024.1495806
This article is part of the Research Topic Recreational forests for co-benefits: conservation, tourism and well-being View all 4 articles

Evergreen or seasonal? Quantitative research on the color of urban scenic forests based on stress -attention electroencephalogram feedback

Provisionally accepted
LINJIA WU LINJIA WU 1*Yixuan Zhang Yixuan Zhang 2*Chunyu Li Chunyu Li 2*Qingmei Zhang Qingmei Zhang 2*Wei zhao Wei zhao 2*Xin Sui Xin Sui 2*Jingting Li Jingting Li 2*Junbin Ma Junbin Ma 2*Yanlin Li Yanlin Li 3*Meiqin Mao Meiqin Mao 4*Qidi Dong Qidi Dong 5*
  • 1 College of Landscape Architecture, Sichuan Agricultural University, Chengdu, China
  • 2 Sichuan Tourism University, Chengdu, Sichuan, China
  • 3 Southwest University of Science and Technology, Mianyang, Sichuan Province, China
  • 4 Ningbo Institute of Technology, Zhejiang University, Hangzhou, Zhejiang Province, China
  • 5 Xihua University, Chengdu, Sichuan Province, China

The final, formatted version of the article will be published soon.

    Urban scenic forests provide urban residents with various physical and mental health and well-being services. However, in the research on the color quantification and health services of scenic forests, it is still unclear how their color quantification characteristics feedback on the stress -attention of the adolescent group.In this study, visual color elements (green, red and yellow) of three landscape forests were used to generate 48 images of four groups of urban landscape forests according to color combinations and proportions. Virtual images were used to assess the stress indicators and attention indicators of participants before and after viewing.The results showed that the four groups of experimental groups showed varying degrees of α wave reduction and β / α ratio increase after viewing, G1 group showed an extremely significant increase in β wave after image stimulation, G1 and G3 group significantly decreased θ / β power, G4 group and G5 control group had no significant change. Among the 16 channels of absolute α wave and absolute β wave in the brain, the F3 and F4 channels corresponding to the frontal lobe of the G3 group showed the most prominent consistency of β wave in the frontal cortex during highly concentrated mental activities.Our study shows that positive EEG(Electroencephalogram) feedback of arousal and attention recovery can be obtained by using monochromatic or two-color changing color features in urban landscape forest.This study can provide references and methods for urban forest planning, design and visual evaluation.

    Keywords: Urban landscape forest, Brain electricity, Color quantization, stress, Attention

    Received: 16 Sep 2024; Accepted: 05 Nov 2024.

    Copyright: © 2024 WU, Zhang, Li, Zhang, zhao, Sui, Li, Ma, Li, Mao and Dong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    LINJIA WU, College of Landscape Architecture, Sichuan Agricultural University, Chengdu, China
    Yixuan Zhang, Sichuan Tourism University, Chengdu, 610100, Sichuan, China
    Chunyu Li, Sichuan Tourism University, Chengdu, 610100, Sichuan, China
    Qingmei Zhang, Sichuan Tourism University, Chengdu, 610100, Sichuan, China
    Wei zhao, Sichuan Tourism University, Chengdu, 610100, Sichuan, China
    Xin Sui, Sichuan Tourism University, Chengdu, 610100, Sichuan, China
    Jingting Li, Sichuan Tourism University, Chengdu, 610100, Sichuan, China
    Junbin Ma, Sichuan Tourism University, Chengdu, 610100, Sichuan, China
    Yanlin Li, Southwest University of Science and Technology, Mianyang, 621010, Sichuan Province, China
    Meiqin Mao, Ningbo Institute of Technology, Zhejiang University, Hangzhou, 315000, Zhejiang Province, China
    Qidi Dong, Xihua University, Chengdu, 610039, Sichuan Province, China

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