The 2022 ACM Symposium of Eye Tracking Research & Applications (ETRA) will be a fully hybrid conference held in Seattle, USA and online from June 8 to 11, 2022. The aim of ETRA is to bring together researchers and practitioners from across fields with the common goal of advancing eye tracking research. Join us in Seattle or attend ETRA online to see the newest cutting-edge eye-tracking research, participate in co-located workshops, and contribute to exciting discussions about the current controversies and the future potential of eye tracking.

The symposium presents advances and innovations in oculomotor research, gaze tracking systems, eye tracking applications, gaze-based interaction, and eye movement data analysis. We invite papers from all areas of eye tracking research and applications, and welcome submissions from all domains, including visuomotor, neuroscience, perception, and cognition.

We are excited to announce that accepted full papers will be published in special issues in either the Proceedings of the ACM on Human-Computer Interaction (PACM HCI) or Computer Graphics and Interactive Techniques (PACM CGIT). These ACM journals publish high-quality research related to their respective topic areas.

Papers must be original and not accepted previously for publication elsewhere or under review elsewhere. At least one author must register and present accepted work at the conference. This year the conference will be hybrid (i.e. both in person and hosted online) to provide accessibility to those who may not be able to attend in person.

ACM ETRA 2022 is co-sponsored by the ACM Special Interest Group on Computer-Human Interaction (SIGCHI) and the ACM Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH).

As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects.

For more information about the submission process, templates, and paper lengths, please refer to Submission process

Authors are also invited to submit original work in a shorter format (see details of the submission instructions here). A short paper should provide a focused and concise, yet significant, contribution to the current state of the art while not delving into broad discussion.

All short paper submissions will undergo a double-blind review process assessing the originality and technical quality of the work, as well as the relevance for eye tracking research and applications. Accepted papers will be archived in the conference proceedings and will be available in the ACM Digital Library as "ETRA '22 Short Papers". Details about the presentation format will follow after the acceptance notification.

Short papers will go through a single-phase review process. Full reviews will be provided by three committee members. External reviewers will be invited on a case by case basis if specialized expertise is required. After the review process, based on the review summary provided by the primary committee member, the authors will receive the final acceptance or rejection notification.

Submissions may include supplementary material, such as videos, code, or datasets that will be archived together with the paper in the ACM DL. Authors should keep in mind that the final acceptance to the conference will be based on the quality of the paper and not the supplementary material. Video submissions are not required, but encouraged to help demonstrate interactive systems that are otherwise difficult to showcase using images or text. Videos should use the MP4 format with H.264 codec and file size should not exceed 100 MB. We recommend the standard 1920x1080 resolution (1280x720 as an alternative). Any supplementary materials, including the video, have to be anonymized for review.

The ACM Symposium on Eye Tracking Research & Applications (ETRA) solicits original research on a diverse set of topics related to eye tracking. Research contributions are welcomed across a range of topics including, but not limited to:

• Data Analysis :
• Novel methods, such as deep learning or other machine-learning based methods
• Pattern recognition for scanpaths
• Clustering of gaze date
• Event detection
• Large-scale data processing

• Prediction methods :
• Gaze prediction
• Action, intent, or attribute prediction

• Visualization :
• Visual representation of gaze patters and other eye tracking data
• Visual analytics and combination with machine learning

• Eye tracking devices :
• Head-mounted eye tracking
• Remote eye tracking
• Novel sensors

• Perception and cognition; Empirical studies :
• Perception, attention and oculomotor control
• Visual search and scene perception
• Eye movements in reading and communication
• Eye-hand coordinationn
• Eye tracking in naturalistic tasks
• In-the-wild studies

• Gaze based interaction :
• Novel interaction methods
• Virtual and augmented reality
• Multi-modal interaction

• Security, privacy and ethics

• Applications :
• Education
• Driving
• Medical / Health
• Virtual/Augmented Reality
• Graphics and virtual avatars