The ARVR Lab

at the School of Computer and Cyber Sciences, Augusta University

in collaboration with the Cybermedia Center at Osaka University

Empowering education and training through augmented and virtual reality

The ARVR Lab is a state-of-the art laboratory within Augusta University's School of Computer and Cyber Sciences. Led by Professor Jason Orlosky from within the Cyber-Physical Systems group, the lab strives to build hardware and software that can improve how we interact with virtual content for practical use. The lab is focused on three fundamental research areas as outlined below.  Application information for students follows. 

Dynamic Augmented Reality

is focused on the practical use of head worn augmented reality during training, dynamic activities, or outdoor navigation. Topics include algorithms that manage text, selection and manipulation of content via gaze, automated application engagement, and other methods to improve mobile efficiency.

Cognitive State Recognition and Feedback

is focused on the use of eye tracking and biometrics to help regulate and support a user's actions during learning. This includes the detection and reduction of anxiety, stress, attention, and fatigue in virtual, augmented, and mixed reality environments.

Remote Collaboration and Agents

deals with co-located environments and intelligent agents to help facilitate remote learning and training. The agents make use of cognitive state to provide more effective feedback, assist with collaboration, and help regulate the users' mental states.  

Getting your MS or PhD in Computer Science

The ARVR Lab is looking for highly motivated individuals with a passion for solving challenging research problems. 

Students who would like to apply to our Lab as part of their SCCS Masters or PhD program application should submit the following additional documents via e-mail to jorlosky {at} Full funding for PhD students and tuition wavers are available on a competitive basis.

We are also looking for research assistants, who may be invited to apply directly for the MS or PhD program based on their performance. Assistantships range from one semester to one year, and applicants should follow the same process outlined above.  

Ideal applicants (for graduate studies or research assistants at our lab) should have the following qualifications. 



Keywords: Augmented Reality; Virtual Reality; Eye Tracking; Artificial Intelligence; Interaction; Remote Collaboration