TRACE: Community Way Finding Application
Trace is a community way-finding application drawing from community data patterns. It creates a profile based on data from your personal attributes and past routes from park visitors similar to you. Through this process, Trace is able to provide users with a personalized park experience for individuals and groups.
Enhance users connection to Discovery Park
Research, concept, problem articulation, and ui design
Ian Fike and Haley Knox
Defining the Problem
During multiple visits to Discovery Park, we found that it was difficult to find routes and activities as well as ways to suggest them to friends. In our team's first stages of ideation, we came to focus on two specific issues: population density and social mapping. This led us to our mission: to create a personalized way-finding experience for individuals and groups.
We included two strategic tools in our research: the Internet of Things and Location Tracking. The Internet of Things is a technology that represents uniquely identifiable objects and their virtual representation in an internet-like structure. Location Tracking is the history of routes and locations experienced by other people similar to the individual whose profile is being created. These tools helped us create a data set which is used to calculate the TRACE PROFILE.
TRACE: FINAL PRODUCT
The visual language of our app evolved from group collaborations with mood boards as well as inspiration from the natural beauty of Discovery Park. The app contains a simple and clean layout which is accented by the bold color use.