Sztuka Izabela Maria, Kühn Simone
Max Planck Institute for Human Development, Berlin, Germany.
Max Planck Institute for Human Development, Berlin, Germany; Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Max Planck-UCL, Center for Computational Psychiatry and Ageing Research, Germany.
Environ Res. 2024 Dec 1;262(Pt 2):119845. doi: 10.1016/j.envres.2024.119845. Epub 2024 Aug 28.
Expanding on previous findings, that highlighted the significance of sky in environmental perception, our analysis investigated whether the visual composition of the sky shapes perceptions of environmental naturalness. The study employed a novel, free-selection task in which participants viewed a series of environmental images with varying levels of natural and urban elements, as well as different sky visibility conditions, and were asked to identify "nature" within these images. The task procedure also involved subjective ratings of each scene. Using previously gathered data, we reassessed 105 participants' selection of the sky as "nature" across 96 photos of diverse outdoor scenes to understand which visuospatial features influence these perceptions. Utilizing the Boruta feature selection algorithm, we identified key characteristics-fractal dimensions, brightness, and entropy in brightness, hue, and saturation-that significantly predicted the selection of sky as "nature", irrespective of the environment type (urban or natural). Results indicated that lower fractal dimensions are preferred for sky selected as "nature", inversely affecting the naturalness judgment of scenes with the additional effect of brightness. These findings enhance our understanding of how visuospatial features influence environmental perception, offering implications for future research directions and theoretical advancements in understanding environmental perception.
在先前强调天空在环境感知中重要性的研究基础上进行拓展,我们的分析调查了天空的视觉构成是否塑造了对环境自然度的感知。该研究采用了一种新颖的自由选择任务,参与者观看一系列具有不同自然和城市元素水平以及不同天空可见度条件的环境图像,并被要求在这些图像中识别“自然”。任务过程还包括对每个场景的主观评分。利用先前收集的数据,我们重新评估了105名参与者在96张不同户外场景照片中选择天空作为“自然”的情况,以了解哪些视觉空间特征会影响这些感知。利用博鲁塔特征选择算法,我们确定了关键特征——分形维数、亮度以及亮度、色调和饱和度方面的熵——这些特征显著预测了将天空选择为“自然”的情况,而与环境类型(城市或自然)无关。结果表明,对于被选为“自然”的天空,较低的分形维数更受青睐,这反过来会影响场景的自然度判断,同时亮度也有额外影响。这些发现增进了我们对视觉空间特征如何影响环境感知的理解,为未来研究方向以及理解环境感知的理论进展提供了启示。