Reese Innovate
Published in

Reese Innovate

Visualizing Data Beyond Flatland

Exploring how data graphics should adapt to augmented reality

Screenshots from the AR data visualizations in this research study.

At the Reese Innovation Lab, we’ve been working on multiple storytelling projects using device-based augmented reality over the past few years. Along the way, we’ve taken note of AR designs that feel good, and ones that don’t — but we haven’t established a strong set of guidelines for how to design for AR.




The UNC Reese Innovation Lab uses emerging technologies like VR, AR and AI to engage audiences in new ways.

Recommended from Medium

Confused by the Confusion Matrix?

Analyzing international survey data with the pewmethods R package

Should You Join a Big Corporation or a Small Startup As a Data Scientist?

When Will COVID-19 End

Stockstats — a handy, stocks-oriented pandas DataFrame wrapper

Unsupervised Learning: Image Compression In 10 Lines of R Code

Predicting Energy Production

What Makes a Hit Song: Analyzing Data from the Billboard Hot 100 Chart

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Peter Andringa

Peter Andringa

Student journalist from Washington DC, currently living in Chapel Hill + Durham

More from Medium

Enterprise VR: Applications

Computational Design Needs a (Design) raison d’être

A New Approach To Circularity Through Urban Mining & Big Data:

How to “voicify” an existing chatbot, part 2