Xiangfeng Zhou - Lab Member

Aurora Wang Chenxi

MPhil Student (2024-2025)

AffectCity : Affective Perception

of Urban Facades

This research intertwines the study of existing literature with empirical studies to map the linkages between architectural features and affective responses. Utilizing both subjective data collection and machine learning, this analysis aims to uncover how different designs can modulate affective experiences in urban environments.

The hypothesis driving this study posits that architectural facades profoundly affect affective well-being and health, thus enhancing the quality of urban spaces. The aim is to methodically explore how the design of building facades can be used to foster positive affective perceptions and mitigate the detrimental effects.

By exploring these relationships through a detailed case study of Cambridge, the research objective is to provide empirically based guidelines for urban development that prioritise holistic well-being

Image: Face Recognition through Python & DeepFace, Photo taken by Author at Cambridge City Center, Edited in Photoshop & Lightroom