Seniors in our GD400 course spent 9 weeks digging into autonomous vehicles and data collection with a team from Red Hat. This project asked students to consider topics like data privacy and security, open data sets, edge computing and machine learning.

The Central Research Question: How can the data collected by an AV benefit human passengers and communities in ways unrelated to the functionality of the car?

Team One: Smarter Customer Acquisition

Team Two: Where New Communities Start

Team 3: EMT & AV Responsive Informed Care

The Process

 

Students from NC State and professionals from Red Hat gathered in a room with tables and post it notes to launch the project.

 

documents and diagrams that indicate secondary research; documents that show image and text of personas

 

Images of User Journey Map diagrams that lay out each step in the persona's current user experience; images of data visualizations that demonstrate benchmarking

 

image of a large piece of paper with a grid made of blue lines of tape and post-it notes, a Data Possibility Matrix and numerous sketches of early interface ideas.

 

numerous hand drawn storyboards of early ideas for user experience. One set of digitally produced storyboards that demonstrate a user experience for landscapers involving a rectangular autonomous vehicle with a screen along the side.

 

Images of student work hung on the wall with students and Red Hat folks discussing and pointing

 

image of digitally produced storyboards of user experience with AV. Images of digitally produced UI designs during early stages of the project.