Welcome to JEOresearch.
Let's change the world together.
Current Goals and Priorities:
1) Build scalable educational interfaces to reduce the disparities that lead to international conflict.
2) Develop safe and beneficial artificial general intelligence for digital life forms.
3) Improve understanding and transparency between nations, institutions, and people.
Bio: My name is Jason and I am currently a professor at Augusta University and adjunct faculty at Osaka University, with research topics such as augmented reality, visualization, and artificial intelligence. Some of my research goals include improving the safety and usability of AR, promoting cross-functional and interdisciplinary research efforts, better understanding the human brain and its relationship with machines, and improving the development of AI. I was funded by the Japan Society for the Promotion of Science (JSPS) fellowship for research on intelligent AR from 2015 - 2017, by the U.S. Office of Naval Research Global (ONRG) for my work on Vision Enhancement From 2017 - 2021, and again by JSPS for my work on Cognitive Symbiosis for 2021 - 2025.
Pure Gaze-based Typing for Extended Reality
Mansour, A. and Orlosky, J. Approximated Match Swiping: Exploring more Ergonomic Gaze-based Text Input for XR (2023). To appear in the adjunct proceedings of the International Symposium on Mixed and Augmented Reality. IEEE.
Reducing Cybersickness through Vision Modulation
Zhao, G., Orlosky, J., Feiner, S., Ratsamee, P., & Uranishi, Y. (2022). Mitigation of VR Sickness during Locomotion with a Motion-Based Dynamic Vision Modulator. IEEE transactions on visualization and computer graphics.
Manipulating virtual content with gaze
Liu, C., Orlosky, J., & Plopski, A. (2020, October). Eye Gaze-based Object Rotation for Head-mounted Displays. In Symposium on Spatial User Interaction (pp. 1-9).
An interface to simulate and assist macular degeneration
Gonçalves, P., Orlosky, J., & Machulla, T. K. (2020, March). An Augmented Reality Assistant to Support Button Selection for Patients with Age-related Macular Degeneration. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 731-732). IEEE.
Controlling drones in VR
Thomason, J., Ratsamee, P., Orlosky, J., Kiyokawa, K., Mashita, T., Uranishi, Y., & Takemura, H. (2019). A comparison of adaptive view techniques for exploratory 3D drone teleoperation. ACM Transactions on Interactive Intelligent Systems (TiiS), 9(2-3), 1-19.