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Research on dynamic visual attraction evaluation method of commercial street based on eye movement perception
Journal of Asian Architecture and Building Engineering ( IF 1.3 ) Pub Date : 2021-07-10 , DOI: 10.1080/13467581.2021.1944872
Guo Xiangmin 1 , Cui Weiqiang 2 , Lo Tiantian 1 , Hou Shumeng 1
Affiliation  

ABSTRACT

Commercial streets play an essential role in urban public life, and their appearance constitutes an important visual attraction, which can attract people to form high-quality and active public spaces. However, in the traditional design analysis methods, limited by the existing evaluation tools, the key content of visual attractiveness analysis under dynamic conditions has rarely been paying attention to. Given this, this research adopts both objectivity and real-time eye movement perception technology to construct an evaluation method based on dynamic visual attractiveness-through the application of virtual reality technology to construct a virtual scene of a typical commercial street and detect the user’s actions in it Eye movement at a time and physiological parameters such as the number of fixation points, fixation duration, and pupil diameter changes.This paper takes the main commercial street in Huanggaihu Town in Hubei Province of China as an example to analyze the visual attraction caused by different design methods.Therefore, from the four aspects of material, shape, line, and vegetation, design suggestions for the reasonable distribution of visual attractiveness in the commercial street space design are proposed to provide useful enlightenment for the vast towns’ commercial street space design.



中文翻译:

基于眼动感知的商业街动态视觉吸引力评价方法研究

摘要

商业街在城市公共生活中起着至关重要的作用,其外观构成了重要的视觉吸引力,可以吸引人们形成高品质、活跃的公共空间。然而,在传统的设计分析方法中,受现有评价工具的限制,动态条件下视觉吸引力分析的关键内容很少受到关注。鉴于此,本研究采用客观性和实时性眼动感知技术,构建了一种基于动态视觉吸引力的评价方法——通过应用虚拟现实技术构建典型商业街的虚拟场景,并检测用户在它一次的眼球运动和生理参数,例如注视点的数量,注视持续时间,

更新日期:2021-07-10
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