Architectural Beauty: Developing a Measurable and Objective Scale

Challenges Pub Date : 2022-10-29 DOI:10.3390/challe13020056
A. Lavdas, N. Salingaros
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引用次数: 8

Abstract

After decades of being ignored, the concept of beauty, as understood by the non-architect, has recently been making a comeback in architecture, not so much in the practice itself, as in appeals for design solutions that are more human-centered and not dictated by abstract principles. Architectural beauty needs to be evaluated from its effects on human health. This study discusses two diagnostic tools for measuring the degree of architectural “beauty” and presents the results of the pilot application of one of them. The goal is to use diagnostic imaging for evaluations. Analytical elements are introduced from disciplines with which practitioners are normally not familiar, such as artificial intelligence, medicine, neuroscience, visual attention and image-processing software, etc. In addition to the diagnostic tools, this paper ties related ideas on objective beauty into a novel synthesis. These results support the idea of a feasible, “objective” way to evaluate what the users will consider as beautiful, and set the stage for an upcoming larger study that will quantitatively correlate the two methods.
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建筑美:发展可测量的客观尺度
在被忽视了几十年之后,美的概念,正如非建筑师所理解的那样,最近在建筑中卷土重来,与其说是在实践本身,不如说在呼吁设计解决方案时更加以人为本,而不是由抽象原则决定的。建筑美需要从对人体健康的影响来评价。本研究讨论了测量建筑“美”程度的两种诊断工具,并介绍了其中一种的试点应用结果。目标是使用诊断成像进行评估。分析元素是从从业者通常不熟悉的学科引入的,如人工智能、医学、神经科学、视觉注意和图像处理软件等。除了诊断工具外,本文还将客观美的相关思想联系到一个新的综合中。这些结果支持了一种可行的、“客观”的方法来评估用户认为什么是美的想法,并为即将进行的更大规模的研究奠定了基础,该研究将定量地将这两种方法联系起来。
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