Our lab focuses on how spaces are perceived and understood rather than how they simply appear visually. We explore the cognitive formation of spatial images and the legibility of spaces using approaches like Kevin Lynch’s The Image of the City and Bill Hillier’s Space Syntax theory. By analyzing spatial characteristics through visual, social, and cultural dimensions, we aim to design environments that align with human perception and cognition, creating spaces that people can easily navigate, remember, and feel attached to.
We pursue spatial planning based on scientific and objective data rather than subjective or experiential judgments, ensuring urban spaces serve all citizens, not just specific individuals. By utilizing spatial information from Geographic Information Systems (GIS) that reflects diverse human behaviors such as movement patterns, purchasing, and residential choices, we optimize space for citizens. We also employ cutting-edge technologies such as eye-tracking, deep learning, virtual reality, and EEG measurements to refine spatial design based on human behavioral data.
Understanding humans as social beings is central to our mission of designing attractive spaces that foster synergy among people. By observing societal phenomena and engaging with communities, we capture the underlying needs and evolving desires for space, reflecting these insights in our designs. Through research-based master plans and urban planning, and by utilizing brain-computer interface technologies to understand human psychology, we aim to develop robotics control technologies that contribute to creating urban spaces aligned with human needs.