The Healthy Cities project was conceived to address the frustration
among city residents about how little they know about the
"healthiness" of their neighborhood, and how difficult it seems to be
to make a noticeable contribution. Initially, we conceptualized
"healthiness" as environmental health, though we have significantly
broadened our definition after interviews and surveys of Berkeley
residents to include aspects of city health such as public school
conditions, air quality, effective minimum wage, maintenance of houses
and streets, unemployment, individual health, racial diversity,
pedestrians, public events, and more. We are building public displays
that make city health more visible and encourage change by making
residents feel like their contributions are valuable. We also want to
encourage community participation in the displays, either indirectly
by seeing changed habits reflected in the displays, or directly by
collecting data or posting comments.
Specifically, we interviewed six East Bay residents to get a
qualitative understanding about their perceptions of a healthy
city. We followed up with a survey of over 145 residents from the
cities of Berkeley, Oakland, El Cerrito, and Richmond. The surveys
were both on-line as well as on paper. The paper surveys were
distributed to residents in front of public areas such as Post
Offices, Farmers' Markets, etc. Our interviews suggested broad
categories if issues that affect a person's perception of city
health. The survey questions delved deeper into the broad categories
that surfaced from the personal interviews.
This resulted in us picking top 10 categories that came up as being
the most important to the residents to be reflected in a display about
the health of their city. Among the top 10, we chose ones that
recurred in the interviews as well as fared well in the questionnaires
(4.0 or above out of 5). Within these top choices, we picked two that
were feasible: Resource Management and Light Pollution.
We developed designs for public displays of both of these
categories. The Resource Management tracking display would be local,
exhibiting the effect of people recycling cans and seeing the results
immediately. The Light Pollution display would be a global
perspective, parsing through night images of the city of Berkeley to
determine where electricity was used the most.
A preliminary interface has been designed for the Resource Management
display, which will sense (through load cells) the change in
weight whenever cans were recycled into a particular recycling bin. As
the weight increases, a visual "meter" rises to give the audience a
sense that they contributed to the "health" of the city. The interface
being deployed on a Sony Clio currently has been made to work in a
simulated environment, where the addition of a can is simulated with
the clicking of a button on the touchscreen.
A preliminary interface has been designed for the Light Pollution
display, which senses, via computer vision, the amount of light given
off by lights in the city of Berkeley at night. Multiple web cameras
are used to collect images every few minutes. These images are
analyzed for brightness characteristics and aggregated across
cameras. The resulting brightness information is overlaid on a map of
Berkeley and presented on a screen to users.
Publications based on this project:
http://kettle.cs.berkeley.edu/ambient/10
Berkeley EECS Research Journal (BERJ) (To Appear)