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