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Featured Projects

Co-creative Game Level Editor

Lab:

We present a demonstration of a level-authoring tool with a co-creative agent informed by knowledge it derived from interactions with human designers.

Debate Slates is a second screen application experience designed to facilitate discussion of theories and future plot developments of long-form narrative television (e.g. Game of Thrones, True Detective and Fringe); Debate Slates also hopes to facilitate discussions on current events, focusing on televised reportage of ISIS and the developing situation in Iraq and Syria.

Optimal Display Placement for Wearable Computers

Lab:

Contextual Computing Group

Where should a head worn display (HWD) be placed for optimal viewing? Does the optimal position change between reading, working on a physical task like order picking, or social conversation? How do we test such issues? Our ongoing studies on user comfort and performance suggest the optimal placement is somewhere between 10 and 20 degrees off-center toward the ear.

Upcoming Events

Aug 23 to Dec 20

IPaT Living Labs Seminar

This seminar introduces students and other attendees to the various living labs that have been established by the Institute for People and Technology (IPaT)
Sep 4

ML@GT Fall Seminar: Galen Reeves, Duke University

The Machine Learning Center at Georgia Tech invites you to a seminar by Galen Reeves from Duke University.
Sep 5

GA Smart Fall Workshop

Join us on September 5, 2019 for Georgia Tech Smart Cities and Inclusive Innovation's GA Smart Fall Workshop!

All GVU Events

GVU News

Researchers Use Social Media to Help Measure Outcomes of Psychiatric Medication

This research exists as a proof of concept to show levels of a specific condition – before and after medication use – using digital data.
While You Were Away: GT Computing 2019 Summer Highlights

College of Computing, Aug 21, 2019
Researchers Use Social Media to Help Measure Outcomes of Psychiatric Medication

This research exists as a proof of concept to show levels of a specific condition – before and after medication use – using digital data.