基于VR眼动的闽南传统街巷风貌特征识别及保护更新机制研究

Based on the virtual reality eye-tracking technology, this research will carry out the feature recognition of the traditional streets in the historic areas and its auxiliary application in the protective and renewal urban design..Using the interdisciplinary knowledge system of urban and rural planning, architecture, cognitive psychology, behavioral science and sociology, the research group independently develop an experimental platform to visually recognize the eye movement and spatial behavior of people in immersion VR environment, including real-time record, data operations and visualization of quantitative analysis. This research will summary the influence of the traditional streets and features on the visual psychology and recognition behavior of the people. It reveals the recognition mechanism of the features of the historical streets in South Fujian, and constructs the index system of the visual recognition weight of the characteristic elements by transforming it into the parameter description..On the basis of this, this research set up an auxiliary platform for street and appearance protection and renewal design based on VR eye tracking, to achieve the application of the process participation, the results evaluation and the suggestion of the traditional street and lane protection renewal design in the southern Fujian historical area, which core is dynamic evaluation of landscape, multiparty participation in design decisions and visual comprehensive evaluation..This research is of great significance for enriching the connotation of protection and renewal design in urban historical area, constructing scientific planning compilation method based on multidimensional values and cultural identity, and promoting the application of Frontier digital technology in urban research area.

课题基于虚拟现实（VR）三维眼动跟踪技术，开展闽南历史地区传统街巷风貌特征识别机制及在保护更新设计中的辅助应用研究。应用城乡规划学、建筑学、认知心理学、行为学及社会学的跨学科知识体系，自主研发基于交叉学科理论与技术方法的实验平台，对在浸入式VR环境中的人群眼动识别及空间行为进行实时记录、数据运算及可视化定量分析，总结街巷风貌要素对人群视觉心理及识别行为的影响规律，从而揭示闽南历史街巷风貌特征的识别机制，并转换为参数描述，构建特征要素的视觉识别权重指标体系。以此为基础，建立基于VR眼动跟踪的街巷风貌保护更新设计辅助平台，以风貌动态评估、多方参与设计决策及可视化综合评价为核心，实现对闽南历史地区传统街巷保护更新设计的过程参与、成果评价与建议的应用辅助。该课题对丰富城市历史地区保护更新设计的内涵、构建基于多维价值观与文化认同的科学规划编制方法、推动前沿数字技术在城市研究领域的应用具有探索意义。

传统的城市风貌更新保护过分依赖设计师的主观判断，使得城市风貌简单化、同质化，容易丧失地方特色，因此，研发出一套快速、科学、精确识别城市风貌特征和系统保护方法显得尤为重要。本研究基于虚拟现实和眼动跟踪技术，对闽南历史地区的传统街巷风貌特征感知识别和保护更新策略机制研究。通过城乡规划学、建筑学、认知心理学、行为学及社会学的跨学科研究体系的建构，自主研发基于交叉学科理论与技术方法的实验平台，并通过不同人群的公众参与闽南传统街巷貌的VR深度视觉感知实验，整合不同体验者的客观眼动视觉数据和主观感知数据，发现不同类型人群对风貌要素感知的差异，揭示城市街巷风貌要素的内在感知机制，进而提出多元化多层次的街巷风貌保护策略。该研究对于推动前沿数字技术在 智慧城市治理领域的应用，构建以人为本的精细化科学规划保护方法具有一定意义。同时对于认识闽南传统建筑风貌深层结构关系提供了重要的启示性线索。项目资助发表核心论文10篇，待发表两篇。培养硕士生5名，其中5名已经取得硕士学位，1名在读。