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20222026
most citedpymovements: A Python Package for Eye Movement Data Processing

30 citations · 50 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.CL2026

Eyettention II: A Dual-Sequence Architecture for Modeling Fixation Location, Within-Word Landing Position, and Fixation Duration in Reading

Shuwen Deng, Cui Ding, David R. Reich +2

The way our eyes move while reading provides valuable insights into both the reader's cognitive processes and the properties of the text. In particular, eye-tracking-while-reading…

cs.CL2026

Fixation Sequences as Time Series: A Topological Approach to Dyslexia Detection

Marius Huber, David R. Reich, Lena A. Jäger

Persistent homology, a method from topological data analysis, extracts robust, multi-scale features from data. It produces stable representations of time series by applying varying…

cs.CL2026

Eye-Tracking-while-Reading: A Living Survey of Datasets with Open Library Support

Deborah N. Jakobi, David R. Reich, Paul Prasse +3

Eye-tracking-while-reading corpora are a valuable resource for many different disciplines and use cases. Use cases range from studying the cognitive processes underlying reading to…

cs.CL2024

EMTeC: A Corpus of Eye Movements on Machine-Generated Texts

Lena Sophia Bolliger, Patrick Haller, Isabelle Caroline Rose Cretton +3

The Eye Movements on Machine-Generated Texts Corpus (EMTeC) is a naturalistic eye-movements-while-reading corpus of 107 native English speakers reading machine-generated texts. The…

cs.CL2024★ 10 cited

PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus

Deborah N. Jakobi, Thomas Kern, David R. Reich +2

The Potsdam Textbook Corpus (PoTeC) is a naturalistic eye-tracking-while-reading corpus containing data from 75 participants reading 12 scientific texts. PoTeC is the first natural…

cs.CL2023

ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts

Lena S. Bolliger, David R. Reich, Patrick Haller +3

Eye movements in reading play a crucial role in psycholinguistic research studying the cognitive mechanisms underlying human language processing. More recently, the tight coupling…

cs.CL2023★ 1 cited

Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding

Shuwen Deng, Paul Prasse, David R. Reich +2

Human gaze data offer cognitive information that reflects natural language comprehension. Indeed, augmenting language models with human scanpaths has proven beneficial for a range…

cs.CL2023

Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading

Shuwen Deng, David R. Reich, Paul Prasse +3

Eye movements during reading offer insights into both the reader's cognitive processes and the characteristics of the text that is being read. Hence, the analysis of scanpaths in r…