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图像分形属性及其与视觉不适的相互作用对步态运动学的影响。

The effect of image fractal properties and its interaction with visual discomfort on gait kinematics.

机构信息

School of Psychological Science, University of Bristol, Bristol, UK.

Queen's School of Engineering, University of Bristol, Bristol, UK.

出版信息

Sci Rep. 2023 Oct 3;13(1):16581. doi: 10.1038/s41598-023-42114-0.

Abstract

Exposure to images of urban environments affords higher cognitive processing demands than exposure to images of nature scenes; an effect potentially related to differences in low-level image statistics such as fractals. The aim of the current study was to investigate whether the fractal dimensions of an abstract scene affect cognitive processing demands, using gait kinematics as a measure of cognitive demand. Participants (n = 40) were asked to walk towards different types of synthetic images which were parametrically varied in their fractal dimensions. At the end of each walk, participants rated each image for its visual discomfort (n = 20) or for its likability (n = 20) as potential confounding factors. Fractal dimensions were predictors of walking speed. Moreover, the interaction between fractal dimensions and subjective visual discomfort but not liking predicted velocity. Overall, these data suggest that fractal dimensions indeed contribute to environmentally induced cognitive processing demands.

摘要

暴露于城市环境的图像比暴露于自然场景的图像需要更高的认知处理要求;这种影响可能与低水平图像统计数据的差异有关,如分形。本研究的目的是调查抽象场景的分形维数是否会影响认知处理要求,使用步态运动学作为认知要求的测量指标。参与者(n=40)被要求走向不同类型的合成图像,这些图像的分形维数在参数上有所变化。在每次行走结束时,参与者根据视觉不适(n=20)或喜好(n=20)对每个图像进行评分,作为潜在的混杂因素。分形维数是行走速度的预测因子。此外,分形维数与主观视觉不适之间的相互作用,但不是喜好,预测了速度。总的来说,这些数据表明,分形维数确实会对环境引起的认知处理要求产生影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7903/10547763/6cdf6421ca57/41598_2023_42114_Fig1_HTML.jpg

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