Cities are crowded places. Ever since the industrial revolution, mass migration to urban spaces has led to increasing problems of overpopulation and related social disorders. On an individual level, overcrowding can lead to or exacerbate agoraphobia, part of a growing problem of general urban anxiety. Responses to this problem — lack of space, lack of privacy — vary, ranging from physical agility (navigating quickly through crowded spaces) to insensitivity (talking loudly on a mobile phone as if in the privacy of one’s own home) to outright violence. What these responses tend to have in common is an element of denial: the individual refuses to acknowledge and analyze the import of the restriction of her space.
Urban Sonar attempts to address this problem by allowing the user to record her personal space over an extended period of time, during which she may move through varied environments that cause different levels of anxiety. The user wears a jacket with four ultrasonic sensors that measure her proximity to other people and objects to her left, right, front and back. The sensors communicate with a Java-enabled mobile phone, which records these four proximity values along with the user’s heartrate. The data can then be uploaded to a server for playback at a later time, allowing the user to consider, with a degree of critical distance, her spatial experience over the course of fixed period of time. Playback consists of an accelerated visual representation, from a birds-eye view, of a constantly shifting geometric representation of the user’s space as it fluctuated during the recorded period.
The goal of the project is to allow (or perhaps force) the user to address and come to terms with the limitations on personal space that are an inherent part of the urban experience. Our hope is that by examining this data, the user can gain a better understanding of her daily experience and begin to come to terms with, and attempt to alleviate, her urban anxiety.