Civic View: An ecosystem for emotional data about place
Imagine having the ability know how your constituency honestly feels about the public spaces of your city. To do this, I created Civic View, a research tool that uses personalized data to measure public space.
 
Research participants opt-in to record four types of data; Video, Narrative, Biometric, and Location. These four data streams work together to provide an objective measure of emotion, tied to a specific location, and contextualized through story. The key component is biometric measurements, which reveals hidden emotional responses that we may not be consciously aware of or able to talk about.
 
Design is an inherent value of the system. Civic View produces high-quality, human-centered data, based on a blend of new technology and skillful expertise in interviewing and ethnography. The result is a comprehensive view of public space through the eyes of a real person. I hope to humanize performance metrics, and help high-level decision makers quickly understand what community residents are seeing and feeling. 
 
The system is also completely opt-in and aims to bring agency and authority to citizens.
 
With my system, we can make real, citizen-driven improvements to retail spaces, real estate developments, public policies, and urban planning.
 
See more at civicview.org  
Civic View: An ecosystem for emotional data about place
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Civic View: An ecosystem for emotional data about place

Civic View is a thesis project for SVA's Interaction Design MFA program. This project is a work in progress and will be updated periodically.
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