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首页> 外文期刊>Landscape and Urban Planning >Unearthing the picturesque: The validity of the preference matrix as a measure of landscape aesthetics
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Unearthing the picturesque: The validity of the preference matrix as a measure of landscape aesthetics

机译：发掘风景如画：偏好矩阵作为景观美学度量的有效性

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Previous research has provided inconclusive support for the preference matrix; a psychological framework of landscape aesthetics rooted in a long tradition of studying scenic quality. Given recent insights into the important implications that aesthetics have for health and well-being, the aim of the present study was to re-assess the validity of the preference matrix following the implementation of a series of methodological improvements. These entailed: a set of item definitions piloted for high comprehension; adequate statistical control for confounding influences by scene content and user experience; a substantially sized, highly varied image database; and the employment of statistical instruments to formally test for nonlinear relationships. An ordinal mixed effects model provides convergent evidence for our hypothesis that each of predictors in the preference matrix is independently predictive of scene aesthetics. In addition, we find support for an interaction between the constructs of Coherence and Complexity and show that levels of both natural and built character, as well as familiarity, are uniquely predictive of scene attractiveness. The present findings underline the role of the preference matrix as a potential tool in informing evidence-based design
机译：先前的研究为偏好矩阵提供了不确定的支持。一个景观美学的心理框架，植根于研究风景质量的悠久传统。鉴于最近对美学对健康和福祉具有重要意义的见解，本研究的目的是在实施一系列方法改进后，重新评估偏好矩阵的有效性。这些要求包括：试行以提高理解力的一组项目定义;适当的统计控制，以混淆场景内容和用户体验的影响;规模很大，变化很大的图像数据库;以及使用统计工具来正式测试非线性关系。序数混合效应模型为我们的假设提供了收敛的证据，即偏好矩阵中的每个预测变量都是场景美感的独立预测。此外，我们发现支持连贯性和复杂性之间的交互作用，并表明自然和内置角色的水平以及熟悉程度都是场景吸引力的独特预测。本研究结果强调了偏好矩阵作为通知基于证据的设计的潜在工具的作用

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