An immersive Augmented/Virtual Reality (AR/VR) experience requires high-resolution display capability and contextual knowledge of the user’s intention to customize the content and display elements. At the same time the popularity of consumer grade virtual-reality products has increased the urgency for innovations in eye-tracking technology to enable social engagements in virtual environments. All of these tasks depend on highly accurate eye-tracking solutions which work robustly and reliably, regardless of variation from the user or their environment.
The goal for this workshop is to motivate the community of eye tracking researchers towards novel outlooks and solutions with high impact for eye-tracking in AR/VR. Partly, this workshop is also motivated by the tremendous success of past iterations of OpenEDS starting in 2019, hosted at ICCV’19, ECCV’20 and ICCV’21, which witnessed enthusiastic participation from researchers in different disciplines such as computer vision, machine learning, eye-tracking and computer graphics. Continuing with the theme of academic engagement, this year, the workshop will focus on eye tracking which is robust to variation, fuses information from multiple sensors, and which is private and secure for applications in AR/VR.
Below is the list of topics that are of particular interest for this workshop:
- Gaze estimation techniques that are robust to identity variance, sensor slippage and sensor noise
- Methods to incorporate uncertainty estimates for near-eye gaze tracking
- Fusing multi-sensor data streams for near-eye gaze tracking
- Multi-modal sensor interactions: for example, combining eye tracking with head, body and hand tracking to improve interactions in AR/VR environment
- Privacy preserving approach to gaze tracking
- Eye movement analysis for biometrics, security and privacy
ETRA Workshop Date: TBD
Submissions must be written in English and must be sent in PDF format. Each submitted paper must be no longer than eight (8) pages, single column, excluding references. The formatting should follow the ETRA 2022 Short Paper track. Please refer to the ETRA Submission Guidelines for instructions regarding formatting, templates, and policies. The submissions will be reviewed by the program committee and selected papers will be published in ETRA Workshop Proceedings (in ACM DL).
Submit your paper using the ETRA review portal portal via PCS. Please do so by choosing under Society tab - ETRA, under Conference/Journal tab - ETRA 2022, under Track tab - ETRA 2022 Workshop - OpenEDS 2022 – Eye Tracking for AR/VR.
- Paper submission deadline: April 5th, 2022
- Paper acceptance notification deadline: April 12th, 2022
- Camera Ready deadline: April 19th, 2022
- Publication Venue: ETRA Workshop Proceedings (in ACM DL)
Keynote and Speakers
- Dorothea Kolossa is an Associate Professor at Ruhr-Universität Bochum, Germany, with a PhD from TU Berlin. Her research interests are in machine learning for multi-modal data, with a focus on speech, audio, and language processing.
- Melissa Hunfalvay is the Co-Founder and Chief Science Officer at RightEye; a health technology company utilizing eye tracking technology. She creates and implements the company vision via product development and data driven, scientific research. For more than two decades she has used eye tracking technology to identify health, wellness, and clinical conditions. Her PhD is from the University of Virginia, where her dissertation used eye tracking to identify visual search patterns of elite tennis players.
- David S. Zee, MD is a professor of neurology and neuroscience at Johns Hopkins Hospital. He has had longstanding interests in eye movement control, the vestibular system, and how these systems learn and recover from disease and trauma.
- Jean-Marc Odobez is a Senior Researcher at IDIAP and EPFL in Lausanne, Switzerland. He leads the Perception and Activity Understanding Group and his main research interests are on human activities analysis from multi-modal data.
Organizers and Program Committee
- Robert Cavin: Robert leads Eye Tracking Research at Reality Labs Research, he received a Masters Degree in Computer and Electrical Engineering from the University of Florida in 2001, with a focus on Robotics, Machine Learning, and Computer Architecture.
- Alexander Fix: Alexander is a Research Scientist at RLR, he received his PhD from Cornell University in 2016, with a focus on optimization algorithms for CV and discrete labeling problems. Current research interests are in 3D reconstruction and neural rendering, particularly focusing on eyes and faces.
- Oleg Komogortsev: Oleg Komogortsev is a Professor at Texas State University. Dr. Komogortsev conducts research in eye tracking with a focus on sensor design, cyber security (biometrics), human computer interaction, usability, bioengineering, and health assessment.
- Yusuf Mansour: Yusuf is a Software Engineer in the Eye Tracking Research team at Reality Labs Research. He has a number of years of experience developing machine learning algorithms for a variety of domains with a particular focus on Computer Vision and Deep Learning systems.
- Michael J. Proulx: Michael is on a sabbatical as a visiting researcher with Eye Tracking Research at RLR, and is also Reader in Psychology and Director of the Crossmodal Cognition Lab at the University of Bath. He received his PhD from Johns Hopkins University in Psychological and Brain Sciences with a focus on visual attention.
- Sachin Talathi: Sachin is Research Manager at RLR, he received his B-Tech in Engineering Physics from Indian Institute of Technology, Bombay in 2001 and PhD in Physics from University of California San Diego in 2006. His research interests include Computational Neuroscience, Neural Signal Processing and Machine Learning.