PI: Helen Armstrong.

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 gather in a room with tables and post it notes to launch the project
Documents and diagrams that indicate secondary research; documents that show image of a woman and text for the project persona
Image of User Journey Map diagrams that lay out each step in the persona's current user experience; images of data visualizations that demonstrate benchmarking
Images of large piece of paper with grid made of blue lines. Post it notes are attached to the grid. This grid is a Data Possibility Matrix for generating early interface ideas.
Numerous hand drawn and simple graphic storyboards demonstrating the students's early ideas for a new user experience around autonomous vehicles and data collection. One set of storyboards demonstrates a user experience with landscapers involving a rectangle autonomous vehicle with a large screen on the side.
Images of student work hung on the wall with students and folks from Red Hat discussing the work and pointing.
Images of digitally produced storyboards of user experience with AV. Images of digitally produced UI designs during early stages of the project.