Zhang Xuan, Han Haoying, Shen Guoqiang
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China.
Faculty of Innovation and Design, City University of Macau, Macau 999078, China.
Sensors (Basel). 2025 Jan 26;25(3):748. doi: 10.3390/s25030748.
Urban green-blue spaces (UGBS) are increasingly recognized for their benefits to physical and mental well-being. However, research on real-time gender-specific emotional responses to UGBS remains limited. To address this gap, a dual-method approach combining facial expression recognition (FER) and self-reported measures to investigate gender differences in real-time emotional evaluations of UGBS was developed. Using static images from Google Street View as stimuli, a self-reporting experiment involving 108 participants provided insights into subjective emotional experiences. Subsequently, a FER experiment, utilizing 360-degree video stimuli, captured over two million data points, validating the feasibility and advantages of real-time emotion monitoring. The findings revealed distinct gender-specific emotional patterns: women experienced stronger pleasant emotions and preferred scenes evoking higher arousal, while men demonstrated sharper responses and rated scenes with peak valence emotions more favorably. Grass elicited relaxation and delight in women and arousal in men, whereas blue spaces induced calmness across genders, with men reporting greater relaxation as water content increased. The study underscores the potential of FER technology in assessing real-time emotional responses, providing actionable insights for inclusive urban planning. By integrating advanced tools and participatory design approaches, urban planners can develop strategies that enhance emotional well-being and create livable cities that support diverse user needs.
城市蓝绿空间（UGBS）对身心健康的益处日益受到认可。然而，关于对城市蓝绿空间的实时性别特定情绪反应的研究仍然有限。为了填补这一空白，开发了一种结合面部表情识别（FER）和自我报告测量的双重方法，以研究在对城市蓝绿空间的实时情绪评估中的性别差异。以谷歌街景的静态图像作为刺激物，一项涉及108名参与者的自我报告实验提供了对主观情绪体验的见解。随后，一项利用360度视频刺激的面部表情识别实验收集了超过200万个数据点，验证了实时情绪监测的可行性和优势。研究结果揭示了不同的性别特定情绪模式：女性体验到更强烈的愉悦情绪，更喜欢唤起更高唤醒水平的场景，而男性表现出更敏锐的反应，对具有峰值效价情绪的场景评价更高。草地让女性感到放松和愉悦，让男性感到兴奋，而蓝色空间在各性别中都能带来平静，随着含水量增加，男性报告的放松程度更高。该研究强调了面部表情识别技术在评估实时情绪反应方面的潜力，为包容性城市规划提供了可操作的见解。通过整合先进工具和参与式设计方法，城市规划者可以制定增强情绪幸福感的策略，并创建支持多样化用户需求的宜居城市。
