Topic Areas

The ACM Symposium on Eye Tracking Research & Applications (ETRA) solicits original full and short research papers 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 and other machine learning-based methods
Scanpath analysis and classification
Clustering of gaze data
Event detection
Large-scale data processing

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

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

Algorithms for gaze estimation
New datasets for machine learning
Feature segmentation/extraction
Data-driven geometric and/or optical models of the eye
Appearance-based gaze estimation

Eye tracking devices :
Head-mounted eye tracking
Remote eye tracking
Novel sensors and wearables

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

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

Security and privacy
Gaze-based secure authentication
Privacy-preserving techniques

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