Report from the Gaze4NLP workshop at LREC 2026

The 2nd Workshop on Eye-Tracking and Natural Language Processing (Gaze4NLP 2026) was held at the LREC 2026 conference on 12 May 2026
https://gaze4nlp.github.io/Gaze4NLP2026/

The workshop focused on the intersection of eye-tracking methodologies and natural language processing. Presentations were invited to explore how eye movement data can enhance our understanding of language processing, improve NLP models, and lead to more human-centered language technologies. The organisers particularly encouraged submissions exploring the relationship between eye-tracking data and large language models, as well as multimodal approaches combining gaze, text, and other signals.

Organization Committee

Cengiz Acarturk, Jagiellonian University, Poland
Jamal Nasir, University of Galway, Ireland
Burcu Can, University of Stirling, Scotland, UK
Cagri Coltekin, University of Tubingen, Germany

Program

TitleAuthor(s)
Eye tracking for Machine Translation Quality EvaluationNatalia Glazyrina and Ondřej Bojar
Cross-Linguistic Analysis of Eye Movement Patterns: Insights from the First Arabic Eye-Tracking Corpus for NLPIbtehal Baazeem, Hend Al-Khalifa and Abdulmalik AlSalman
Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text GenerationAndreas Säuberli, Diego Frassinelli and Barbara Plank
Impact of Text Simplification on Eye-Tracking-Based Reading Profiles Across DomainsOksana Ivchenko and Natalia Grabar
Parts of Speech Shape Reading – Time Variability in Brazilian PortugueseDiego Alves
CoordiMap: Conceptual Proposition of a new Framework for the An- notation of Verbal Elicitation Paths on Visual Experiment Stimuli and Introduction of the Associated Annotation ToolCarmen Schacht
A Comparative Study Between Mouse and Eye Tracking Signals for Long Romanian TextsBogdan Alexandru Gheorghe and Sergiu Nisioi
Eye-Contact and Facial Expression Tracking for Assertiveness Training in VR-Based Anti-Bullying EducationLubomir Ivanov, Anabel Nolasco and Mary Vrahimis
Predicting Gaze Location without Camera or Eye-TrackerSaman Rezapoor, Sajad Shirali-Shahreza and Gerald Penn
A Survey of Incorporating Gaze Data into Natural Language Processing Models and ApplicationsCengiz Acarturk, Burcu Can, Melike Caglayan, Jamal Abdul Nasir and Cagri Coltekin

Posted