Visual Insight Design for Low Data-Literacy Drivers
An innovative interface that makes traffic data understandable at a glance.
1Problem and Solution
Cab drivers struggle to understand traffic congestion and competition levels. To solve this, a visualization method inspired by social graphs was developed. Each area is represented as a node, with colors indicating earning levels.
2Color Coding
Green represents high-earning areas, yellow medium, and red low-earning zones. This color coding helps drivers quickly identify which areas are more profitable with just a glance.
3Animated Indicators
Nodes in high-demand areas pulsate, drawing attention. This animation allows drivers to quickly spot areas with increased demand, enabling them to navigate efficiently without delay.
4Size Differentiation
The size of the nodes indicates the density of cabs in an area. Larger nodes mean more competition, while smaller ones suggest less. This helps drivers make strategic decisions about where to go.
5Detailed Information
Clicking on a node provides drivers with detailed insights about the area. These insights are presented in readable messages, helping drivers better understand the data.
6Outcome and Impact
This design simplifies complex data for drivers with low data literacy. Simple visual elements like color and size coding enable drivers to make more efficient decisions, optimizing their work.