Meaningful participation in the urban planning process requires a higher level of knowledge and training in architecture and/or planning and can leave the public feeling threatened and overwhelmed. A method that communicates planning aspirations efficiently and allows citizens to escape the rigidity of the urban fabric and envisage different alternatives for specific parts of cities does not yet exist.
The prototype presented utilises an easily manipulated and constructed cardboard massing model of an existing neighbourhood at scale. AR visualizations are then used to overlay and present data in a “context-aware” scenario. The system is designed to support different AR devices (smartphones, tablets, and Hololens) in employing a vision-based tracking algorithm that continuously detects and tracks image targets within the visible space and translates these manipulations to computer commands. Authors: Nektarios Christodoulou (Famagusta Ecocity), Andreas Papallas (Cyprus Interaction Lab), Zona Kostic (Harvard University) and Lennart Nacke (Waterloo University)