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Found 12 papers, 8 papers with code
Language models emulate certain cognitive profiles: An investigation of how predictability measures interact with individual differences
To date, most investigations on surprisal and entropy effects in reading have been conducted on the group level, disregarding individual differences.
Reporting Eye-Tracking Data Quality: Towards a New Standard
Eye-tracking datasets are often shared in the format used by their creators for their original analyses, usually resulting in the exclusion of data considered irrelevant to the primary purpose.
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.
Reading Task Classification Using EEG and Eye-Tracking Data
The Zurich Cognitive Language Processing Corpus (ZuCo) provides eye-tracking and EEG signals from two reading paradigms, normal reading and task-specific reading.
Discriminative Viewer Identification using Generative Models of Eye Gaze
We study the problem of identifying viewers of arbitrary images based on their eye gaze.
Deep Eyedentification: Biometric Identification using Micro-Movements of the Eye
We study involuntary micro-movements of the eye for biometric identification.
Feature overwriting as a finite mixture process: Evidence from comprehension data
One explanation for this facilitation effect is the feature percolation account: the plural feature on cabinets percolates up to the head noun key, leading to the illusion.
