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木材的视觉刺激及人体心理生理响应研究进展

张悦 李超 郭叶莹子 赵广杰

张悦, 李超, 郭叶莹子, 赵广杰. 木材的视觉刺激及人体心理生理响应研究进展[J]. 北京林业大学学报. doi: 10.12171/j.1000-1522.20210365
引用本文: 张悦, 李超, 郭叶莹子, 赵广杰. 木材的视觉刺激及人体心理生理响应研究进展[J]. 北京林业大学学报. doi: 10.12171/j.1000-1522.20210365
Zhang Yue, Li Chao, Guo-Ye Yingzi, Zhao Guangjie. Research development on human psychological and physiological responses to visual stimulation of wood[J]. Journal of Beijing Forestry University. doi: 10.12171/j.1000-1522.20210365
Citation: Zhang Yue, Li Chao, Guo-Ye Yingzi, Zhao Guangjie. Research development on human psychological and physiological responses to visual stimulation of wood[J]. Journal of Beijing Forestry University. doi: 10.12171/j.1000-1522.20210365

木材的视觉刺激及人体心理生理响应研究进展

doi: 10.12171/j.1000-1522.20210365
基金项目: 浙江理工大学科研业务费专项(2020Q058)
详细信息
    作者简介:

    张悦,讲师。主要研究方向:家具设计与制造。Email:554288119@qq.com 地址:212400 江苏省句容市文昌东路19号江苏农林职业技术学院风景园林学院

    责任作者:

    赵广杰,博士,教授。主要研究方向:木材构造与物性等。Email:zhaows@bjfu.edu.cn 地址:100083 北京市清华东路35号北京林业大学材料科学与技术学院

  • 中图分类号: S781

Research development on human psychological and physiological responses to visual stimulation of wood

  • 摘要: 木材是与人类生活密不可分的天然生物材料,其优良的美学特性被广泛地应用在家具以及建筑内外装饰领域。木材特有的颜色与纹理等外观特征将引起注目者的视觉刺激,进而引起心理和生理的响应过程。在木材的视觉刺激表征,以及心理生理响应的试验测定与科学评价方面,研究多采用主观的问卷或评价量表来表达,近年来通过运用先进技术监测人体心理和生理指标为量化研究提供了新的视角与方法。本文为了进一步梳理木材视觉刺激引起的心理和生理响应活动,聚焦木材视觉特性研究领域,系统地归纳了国内外木材视觉刺激的表征方法,总结了由木材视觉刺激引起的人体心理和生理响应方面的主要研究内容及进展。在综合分析基础上,凝炼出该研究领域亟待解决的3个科学问题:木材视觉刺激引起人体心理生理响应过程的精准评价,多感官通道交互与协同作用机制,木质居住环境对人体心理生理健康的影响。旨在为木制品视觉设计或木质室内空间舒适感营造提供理论基础,并为今后开展木质环境学,尤其木材视觉特性领域的研究与应用提供技术性参照路径。

     

  • 图  1  小提琴背板最“富于变化”与最“均质”图案的视线点分布比较

         引自参考文献[54] 。Cited from reference [54].

    Figure  1.  Comparison of distributions of fixation between the most “varied” fiddle back pattern and the most “homogeneous” one

    图  2  不同墙板图像眼睛注视暂停的位置和分布图比较

    a. 4个用作视觉刺激的不同木质墙板图像;b. 3名受试者眼睛注视暂停的典型分布(其中小节型和大节型为同一受试者),黑点表示他们的眼睛注视暂停位置,相邻点沿时间序列连成线;c. 由20名受试者的数据组成的眼睛固定停顿分布图。等高线和阴影的强度表示平均停顿时间,其中白色表示0.025 ~ 0.075 s,浅灰色表示0.075 ~ 0.125 s,深灰色表示0.125 s以上。引自参考文献[56] 。a, four examples of wall panel images used as visual stimuli; b, typical distribution of eye-fixation pauses in three subjects (among them small knot type and large knot type are the same subject). Black dots denote their eye-fixation pauses. Adjacent dots are tied in line with each other along the time sequence. c, distribution maps of eye-fixation pauses composed from 20 subjects’ data. Contour lines and intensity of shading denote average pausing time (white: 0025 − 0.075 s, light gray: 0.075 − 0.125 s, dark gray: longer than 0.125 s). Cited from reference [56].

    Figure  2.  Comparison of different wall panel images, 3 eye-fixation pauses, distribution maps of eye-fixation pauses

    图  3  实验设计的不同木材率的房间

                        引自参考文献[63] 。Cited from reference [63].

    Figure  3.  Interior designs of rooms created for the experiment with different wood ratios

    图  4  不同木材率的房间中人体脉搏率和血压的时间序列变化

                         引自参考文献[63] 。Cited from reference [63].

    Figure  4.  Time-series variations in pulse rate and blood pressure in room with different wood ratios

    图  5  实验设计的不同视觉刺激内墙图像

                        引自参考文献[12] 。Cited from reference [12].

    Figure  5.  Images created for the experiment with different visual stimulus

    图  6  不同视觉刺激下大脑前额叶皮层的氧血红蛋白浓度时间序列变化

                         引自参考文献[12]。 Cited from reference[12].

    Figure  6.  Time series changes of oxyhemoglobin level in the prefrontal cortex under different visual stimulus

    表  1  视觉心理量回归预测方程式

    Table  1.   Regression prediction equation of visual psychological quantity

    心理量 Psychological quantity回归方程式 Regression equation复相关系数
    Multiple correlation coefficient (R)
    上乘感 Superior sense 1.671 − 0.257L* + 0.161b* − 0.175S–0.082P 0.494
    舒适感 Comfortable sense 2.043 − 0.200S + 0.137L*–0.145b* + 0.090P 0.601
    温暖感 Warm sense 1.771 + 0.207P + 0.159b* − 0.258L* − 0.171S 0.769
    明快感 Bright sense 1.848 + 0.717L* − 0.113S + 0.305b* − 0.075P 0.850
    注:L*为明度,b*为黄蓝色品指数,S为纹理强弱参数,P为纹理疏密参数。引自参考文献[44]。Notes: L* is brightness, b* is the yellow and blue index, S is the texture strength parameter, and P is the texture sparsity parameter. Cited from reference [44].
    下载: 导出CSV
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  • 收稿日期:  2021-09-15
  • 录用日期:  2022-05-24
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