Augmented and Virtual Reality

The research in this topic area seeks to improve the interactions with and management of virtual content in XR. 

Teleoperation and Telelife

Orlosky, J., Sra, M., Bektaş, K., Peng, H., Kim, J., Kos’ myna, N., ... & Akşit, K. (2021). Telelife: The future of remote living. Frontiers in Virtual Reality, 2, 763340.

Orlosky, J., Theofilis, K., Kiyokawa, K., & Nagai, Y. (2020). Effects of Throughput Delay on Perception of Robot Teleoperation and Head Control Precision in Remote Monitoring Tasks. PRESENCE: Virtual and Augmented Reality, 27(2), 226-241. 

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. 

Education and Language Learning

Huynh, B., Wysopal, A., Ross, V., Orlosky, J., & Höllerer, T. (2022, October). Layerable Apps: Comparing Concurrent and Exclusive Display of Augmented Reality Applications. In 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (pp. 857-863). IEEE.

Orlosky, J., Huynh, B., & Hollerer, T. (2019, December). Using eye tracked virtual reality to classify understanding of vocabulary in recall tasks. In 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) (pp. 66-667). IEEE.

Sakamoto, K., Shirai, S., Orlosky, J., Nagataki, H., Takemura, N., Alizadeh, M., & Ueda, M. (2020, March). Exploring Pupillometry as a Method to Evaluate Reading Comprehension in VR-based Educational Comics. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 422-426). IEEE.

Vision Augmentation

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.

Itoh, Y., Orlosky, J., Kiyokawa, K., & Klinker, G. (2016). Laplacian Vision: Augmenting Motion Prediction via Optical See-Through Head-Mounted Displays. In Proceedings of the 7th Augmented Human International Conference 2016 (p. 16). ACM. **Best Paper**

Orlosky, J., Toyama, T., Kiyokawa, K., & Sonntag, D. (2015). Modular: Eye-controlled vision augmentations for head mounted displays. IEEE transactions on visualization and computer graphics, 21(11), 1259-1268. Best Paper Nominee

View Management

Orlosky, J., Kiyokawa, K., Takemura, H. Dynamic Text Management for See-through Wearable and Heads-up Display Systems. Proceedings of the 2013 International Conference on Intelligent User Interfaces. pgs. 363-370.  **Best Paper**

Orlosky, J., Toyama, T., Kiyokawa, K., & Sonntag, D. (2015, March). Halo Content: Context-aware Viewspace Management for Non-invasive Augmented Reality. In Proceedings of the 20th International Conference on Intelligent User Interfaces (pp. 369-373). ACM.

Wide Field of View Research

Kruijff, E., Orlosky, J., Kishishita, N., Trepkowski, C., & Kiyokawa, K. (2018). The influence of label design on search performance and noticeability in wide field of view augmented reality displays. IEEE transactions on visualization and computer graphics, 25(9), 2821-2837.

Kishishita, N., Kiyokawa, K.,  Kruijff, E., Orlosky, J., Mashita, T., & Takemura, H. (2014, September). Analysing the effects of a wide field of view augmented reality display on search performance in divided attention tasks. In Mixed and Augmented Reality (ISMAR), 2014 IEEE International Symposium on (pp. 177-186). IEEE.