Eye Tracking and NLP

David Reich, Omer Shubi, Lena Jäger, Yevgeni Berzak


Abstract
Our tutorial introduces a growing research area that combines eye tracking during reading with NLP. The tutorial outlines how eye movements in reading can be leveraged for NLP, and, vice versa, how NLP methods can advance psycholinguistic modeling of eye movements in reading. We cover four main themes: (i) fundamentals of eye movements in reading, (ii) experimental methodologies and available data, (iii) integrating eye movement data in NLP models, and (iv) using LLMs for modeling eye movements in reading. The tutorial is tailored to NLP researchers and practitioners, and provides the essential background for conducting research on joint modeling of eye movements and text.
Anthology ID:
2025.acl-tutorials.2
Volume:
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts)
Month:
July
Year:
2025
Address:
Vienna, Austria
Editors:
Yuki Arase, David Jurgens, Fei Xia
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2
Language:
URL:
https://preview.aclanthology.org/ingestion-acl-25/2025.acl-tutorials.2/
DOI:
Bibkey:
Cite (ACL):
David Reich, Omer Shubi, Lena Jäger, and Yevgeni Berzak. 2025. Eye Tracking and NLP. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts), pages 2–2, Vienna, Austria. Association for Computational Linguistics.
Cite (Informal):
Eye Tracking and NLP (Reich et al., ACL 2025)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-acl-25/2025.acl-tutorials.2.pdf