用生成式AI分析日本偏远地区临时活动空间的视觉吸引力。
Approach to Visual Attractiveness of Event Space Through Data-Driven Environment and Spatial Perception
- 通过访谈关键词提取与空间感知分析，构建视觉吸引力评估框架。
- 空间布局优化与可见性策略能显著提升访客流动体验。
- 适合关注城市更新与文化差异的设计师及规划者参考。
振兴日本偏远地区已成为重要任务，松江市通过集体努力创建临时活动空间以激发城市活力并连接居民与游客。本研究探讨了基于生成式AI的数据洞察与视觉吸引力之间的关系，重点分析松江市临时活动空间在参与者认知文化差异背景下的视觉信息处理。第一阶段从访谈中提取语义关键词，将回应分为物理元素、活动和氛围三类；第二阶段通过布局层级、产品可见性与视觉注意力三个维度分析空间感知。相关性分析表明，成功的活动设计需平衡空间效率与多样化需求，优化空间组织以促进访客流动，并制定考虑文化与人口差异的可见性策略。研究结果有助于理解临时活动空间的都市品质，为日本偏远地区提升活动视觉吸引力提供可复用的框架。
原文摘要 · Abstract (English)
Revitalizing Japan's remote areas has become a crucial task, and Matsue City exemplifies this effort in its temporary event spaces, created through collective efforts to foster urban vibrancy and bring together residents and visitors. This research examines the relationship between data-driven in-sights using generative AI and visual attractiveness by evaluating tempo-rary events in Matsue City, particularly considering the cognitive-cultural differences in processing visual information of the participants. The first phase employs semantic keyword extraction from interviews, categorizing responses into physical elements, activities, and atmosphere. The second phase analyzes spatial perception through three categories: layout hierar-chy, product visibility, and visual attention. The correlation indicates that successful event design requires a balance between spatial efficiency and diverse needs, with a spatial organization that optimizes visitor flow and visibility strategies considering cultural and demographic diversity. These findings contribute to understanding the urban quality of temporary event spaces and offer a replicable framework for enhancing the visual appeal of events in remote areas throughout Japan.
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