基于视觉量化的传统村落水口景观游客视觉行为偏好分析
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国家自然科学基金面上项目“徽州传统建筑群落复合环境的感性评价研究”(编号:51978226)


Analysis of Visual Behavioral Preferences of Tourists in Traditional Village Shuikou Landscape Based on Visual Quantification
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    摘要:

    水口是传统村落景观风貌和功能的重要组成部分,具有深厚的历史文化价值。选取安徽省黄山市唐模村的水口景观空间进行眼动追踪实验,探究在乡村转型发展过程中如何保持水口独特景观风貌、提升游客的情感与体验感。通过眼动指标的量化特征分析,实现对水口景观空间视觉的可度量和可视化,总结了水口景观空间游客视觉行为的规律。研究表明:(1)在水口景观空间中,门窗洞口、牌匾楹联等人工要素比植物、水体等自然要素更受游客关注,人工要素在文化类风景园林建设中发挥重要作用。(2)游客对大面积单一的植物、水体的视觉偏好较小。(3)第一次注视前时间、第一次注视持续时间与要素的像素数量、RGB均值具有较强相关性。

    Abstract:

    Shuikou is an important part of the landscape style and function of traditional villages, with deep historical and cultural value. Eye-tracking experiments are conducted in the ShuiKou landscape space of TangMo Village, Huangshan City, Anhui Province to explore how to maintain the unique landscape style of ShuiKou and enhance the emotion and experience of tourists in the process of rural transformation and development. Through the quantitative feature analysis of eye movement indexes, we realize the measurable and visualization of the vision of ShuiKou landscape space, and summarize the law of tourists’ visual behavior in ShuiKou landscape space. The study shows that: (1) In the Shuikou landscape space, artificial elements such as door and window openings, plaques and couplets are more concerned by tourists than natural elements such as plants and water bodies, and artificial elements play an important role in the construction of cultural landscape gardens. (2) Visitors have less visual preference for large single plants and water bodies. (3) The time before the first gaze and the duration of the first gaze have a strong correlation with the number of pixels and RGB mean value of the elements.

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  • 在线发布日期: 2024-03-21
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