The Translational Data Analytics Institute at The Ohio State University is a collaborative space that houses a multitude of growing projects. The purpose of this demo is to demonstrate different ways virtual objects can be placed in different parts of the building to understand how we can represent data and experience it. The hope is that through this pipeline, the community has the ability to discover and consider and contribute to the research being conducted and the growing community.

In the demo experience, humanities data is being used in a variety of locations utilizing different capabilities, such as live data and virtual monitors.

This project is created by Dr. Matthew Lewis, Emily Subr, and Hsi-Yuan Chu.

For this demo, the AR is being done through Glitch and A-Frame. However, as we experiemented with different ways to create data experiences, we tried different platforms for AR development.

Model Viewer

Model Viewer is an engine built by Google that takes GLB files and allows them to be placed in AR using a mobile device's camera. It supports development of AR experiences for both iPhone and Android devices. Check out some of our examples below:

Pomerene Gym

History of Art Hallway

Adobe Aero

Aero is a simple AR development program that requires zero-coding skills. In order to view the example below, you will need to download the free Adobe Aero app.

History of Art Hallway