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Front matter |
pages |
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What Determines Where Readers Fixate Next? Leveraging NLP to Investigate Human Cognition
Adrielli Tina Lopes Rego, Joshua Snell and Martijn Meeter |
pp. 1‑6 |
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Benchmarking Language Model Surprisal for Eye-Tracking Predictions in Brazilian Portuguese
Diego Alves |
pp. 7‑17 |
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EgoDrive: Egocentric Multimodal Driver Behavior Recognition Using Project Aria
Michael Rice, Lorenz Krause and Waqar Shahid Qureshi |
pp. 18‑25 |
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Comparing Eye-gaze and Transformer Attention Mechanisms in Reading Tasks
Maria Mouratidi and Massimo Poesio |
pp. 26‑36 |
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A French Eye-Tracking Corpus of Original and Simplified Medical, Clinical, and General Texts - FETA
Oksana Ivchenko and Natalia Grabar |
pp. 37‑43 |
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Exploring Mouse Tracking for Reading on Romanian Data
Cristina Maria Popescu and Sergiu Nisioi |
pp. 44‑51 |
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Where Patients Slow Down: Surprisal, Uncertainty, and Simplification in French Clinical Reading
Oksana Ivchenko, Alamgir Munir Qazi and Jamal Abdul Nasir |
pp. 52‑57 |
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AlEYEgnment: Leveraging Eye‑Tracking‑While‑Reading to Align Language Models with Human Preferences
Anna Bondar, David Robert Reich and Lena Ann Jäger |
pp. 58‑70 |
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Predicting Total Reading Time Using Romanian Eye-Tracking Data
Anamaria Hodivoianu, Oleksandra Kuvshynova, Filip Popovici, Adrian Luca and Sergiu Nisioi |
pp. 71‑75 |
Last modified on October 31, 2025, 10:41 a.m.