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cs.CL2026

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

Deborah N. Jakobi, David R. Reich, Paul Prasse +4

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.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 +1

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.CL2025

Modeling Bottom-up Information Quality during Language Processing

Cui Ding, Yanning Yin, Lena A. Jäger +1

Contemporary theories model language processing as integrating both top-down expectations and bottom-up inputs. One major prediction of such models is that the quality of the botto…

cs.CL2024

Reporting Eye-Tracking Data Quality: Towards a New Standard

Deborah N. Jakobi, Daniel G. Krakowczyk, Lena A. Jäger

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 pri…