Interactive scale model installation
Created with : Cardboard, LED, Arduino, Processing, Sonar distance sensor, microphone.
STREET FLOW is a design fiction project exploring interfaces that helps forming information space and navigating through it in the urban context. The project suggests an interactive system that senses, stores, and interprets data of walkers through massive sensors, and aims to reveal meaning of streets as information stream of a city. In this project, streets are subjects of seeing a city. They are information continuum that not only absorb and contain massive data, but also actively interpret and utilize them. Each street is allowed to form a characteristic depending on kind of activity done by pedestrians – popularity, velocity, and sociality.
STREET FLOW consists of two parts; an massive sensing infrastructure implanted in sidewalk networks and a mobile application. At the street’s end, sensing of the data is performed through low-tech massive sensing system that has its design focus on a paver. Sensing mechanism is simple; each paver has a microphone and a distance sensor, and collection of pavers with sensors form images of how popular or social the street is, and how fast pedestrians walk, through data collected. Once the characteristic is determined, the street indicates it by changing color of pavement pattern. Although the change of pattern may allow people to guess what kind of area the street is located, it is not an explicit indication. The STREET FLOW mobile application allows users to access to and navigate through the data. The current and the history of the data are all open to the public. Also, the application tracks the user’s walking behaviors and patterns, send a notification if there is any unusual change of characteristics around everyday walking routes. Furthermore, it can help the user to find streets that have similar or different walking aspects from he preferred to take in his home neighborhood.