Version 1
: Received: 31 August 2019 / Approved: 2 September 2019 / Online: 2 September 2019 (09:18:08 CEST)
How to cite:
Li, J.; Barmaki, R. Trends in Virtual and Augmented Reality Research: A Review of Latest Eye Tracking Research Papers and Beyond. Preprints2019, 2019090019. https://doi.org/10.20944/preprints201909.0019.v1
Li, J.; Barmaki, R. Trends in Virtual and Augmented Reality Research: A Review of Latest Eye Tracking Research Papers and Beyond. Preprints 2019, 2019090019. https://doi.org/10.20944/preprints201909.0019.v1
Li, J.; Barmaki, R. Trends in Virtual and Augmented Reality Research: A Review of Latest Eye Tracking Research Papers and Beyond. Preprints2019, 2019090019. https://doi.org/10.20944/preprints201909.0019.v1
APA Style
Li, J., & Barmaki, R. (2019). Trends in Virtual and Augmented Reality Research: A Review of Latest Eye Tracking Research Papers and Beyond. Preprints. https://doi.org/10.20944/preprints201909.0019.v1
Chicago/Turabian Style
Li, J. and Roghayeh Barmaki. 2019 "Trends in Virtual and Augmented Reality Research: A Review of Latest Eye Tracking Research Papers and Beyond" Preprints. https://doi.org/10.20944/preprints201909.0019.v1
Abstract
Although proposition of “Virtual Reality” (VR) and “Augment Reality” (AR) can be traced back to the 60s, both areas are actually blooming in recent decades. Thanks to the latest deep learning techniques, an enormous advance in computer vision research community has taken place. Since VR and AR are highly related to computer vision tasks, these areas have enjoyed the benefits as well. Yet there is no sufficient survey on such impact and new research areas arising from it. This paper mainly focuses on the latest research progress in ACM Symposium on Eye Tracking Research & Applications (ETRA) 2019, as well as several recent representative paper works. It aims to figure out the influence of deep learning techniques on latest VR/AR research. Meanwhile, new issues have popped up with the development of VR and AR technology, such as privacy and computation efficiency. This paper draws attention to such newly produced topics as well. In addition, this paper also investigates on the effect of latest VR and AR techniques on people, such as level of teamwork in collaborative tasks, assistance and treatment to patients and the disabled, etc.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
