Large Language Models and Eye Tracking
A special issue of Journal of Eye Movement Research (ISSN 1995-8692).
Deadline for manuscript submissions: 20 August 2026 | Viewed by 387
Special Issue Editors
Interests: eye tracking; reading models; software engineering
Interests: eye tracking; information visualization; visual analytics; data science; software engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, and LLaMA have rapidly transformed how humans interact with language and information, while eye tracking remains a premier tool for capturing real-time indicators of visual attention, cognitive processing, and user engagement. The convergence of LLM research and eye movement analysis opens exciting avenues for understanding reading behavior, evaluating models, enabling human–AI interaction, developing adaptive interfaces, and analyzing multimodal behavioral patterns.
This Special Issue solicits original research, methodological contributions, computational models, applied studies, and theoretical perspectives that investigate the interplay between LLMs and eye tracking. Topics of interest include, but are not limited to:
- Using eye tracking to assess elements of cognition and engagement with LLM interfaces.
- Using eye tracking to assess reading strategies and interfaces during model output evaluation.
- Using eye tracking to enhance language model training and alignment.
- Adaptive language generation systems informed by gaze metrics.
- Integrating eye movement data with LLMs for improved reading and comprehension.
- Applications in reading research, education, human–computer interaction, and accessibility.
We also welcome studies that advance tools, datasets, analytics techniques, and evaluation frameworks at the intersection of these fields.
We invite research articles, reviews, case studies, and short communications that push forward our understanding of how large language models and eye movement research can be synergistically leveraged to deepen insights into human cognition and enhance AI systems.
Dr. Naser Al Madi
Dr. Michael Burch
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Eye Movement Research is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- large language models
- eye tracking
- human–computer interaction
- reading research
- human–AI interaction
- visual perception
- accessibility
- gaze–language alignment
- natural language processing (NLP)
- human-centered AI
- educational applications
- cognitive models
- gaze-informed AI systems
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