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Found 6 papers, 6 papers with code
PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus
The Potsdam Textbook Corpus (PoTeC) is a naturalistic eye-tracking-while-reading corpus containing data from 75 participants reading 12 scientific texts.
ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts
However, scarcity of eye movement data and its unavailability at application time poses a major challenge for this line of research.
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
We develop a model that integrates synthetic scanpath generation with a scanpath-augmented language model, eliminating the need for human gaze data.
Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading
In this paper, we develop Eyettention, the first dual-sequence model that simultaneously processes the sequence of words and the chronological sequence of fixations.
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models
In this work, we employ established gaze event detection algorithms for fixations and saccades and quantitatively evaluate the impact of these events by determining their concept influence.
Detection of ADHD based on Eye Movements during Natural Viewing
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that is highly prevalent and requires clinical specialists to diagnose.
