Enhancing Spatial Cognition to Improve Pattern Recognition within Mixed Reality Environments

This research is focused on using a variety of forms of visualization combined with computer vision within mixed reality environments to understand more about architectural patterns and processes. Can we use this new space created by mixed reality to increase the capacity to process, analyze and transform architectural data? Do the web of relationships made possible between the physical, digital and conceptual aspects of augmented space increase the potential for knowledge formation via pattern recognition? To what extent can the affordances of mixed reality environments including new visualisation and interaction methodologies lead to such measureable improvements? How will interacting in these environments affect the relationship between spatial cognition and visualisation?