EyeBench is a mega-project providing a much needed infrastructure for easy loading & preprocessing of eye-tracking-for-reading datasets, and for addressing super exciting modeling challenges: decoding linguistic knowledge and reading interactions from gaze!
Check it out here: eyebench.github.io
👀 📣 To all users of eye-tracking-while-reading datasets: check out our comprehensive, filterable dataset overview!
Dataset overview: dili-lab.github.io/datasets.html
Preprint: arxiv.org/abs/2602.19598
Add or edit your dataset: www.cl.uzh.ch/en/research-...
#FAIR #eyetracking #datasets
📣 #Job alert! The Technology Platform LiRI at the University of Zurich is looking for Data Science Consultant specialized in #statistics, in collaboration with the NCCR Evolving Language!
More details here: jobs.uzh.ch/job-vacancie...
Late breaking work:
📄 Krakowczyk et al.: The More the Merrier: Boost Your Dataset Visibility and Discover Eye-Tracking Datasets with pymovements
Big congratulations to all the authors! 🎊
Workshop papers:
📄 Brasser et al.: Predicting Children’s Reading Comprehension Through Eye Movements: Insights from Visual Search and Interpretable Machine Learning
📄 Jakobi et al.: MultiplEYE: Creating a multilingual eye-tracking-while-reading corpus
Short papers (2/2):
📄 Bondar et al.: CoLAGaze: A Corpus of Eye Movements for Linguistic Acceptability
📄 Prasse et al.: Detection of Alcohol Inebriation from Eye Movements using Remote and Wearable Eye Trackers
Short papers (1/2):
📄 Jakobi et al.: Neural Additive Models Uncover Predictive Gaze Features in Reading
📄 Reich et al.: Proxy-Based Pre-Training for Eye-Tracking Applications
Long papers:
📄 Reich et al.: Evaluating Gaze Event Detection Algorithms: Impacts on Machine Learning-based Classification and Psycholinguistic Statistical Modeling
📄 Bolliger et al.: ScanDL 2.0: A generative model of eye movements in reading synthesizing scanpaths and fixation durations
Excited to share that our group will present 9 papers at this year's ACM Symposium on Eye Tracking Research & Applications (ETRA) in Tokyo!
We will post summaries of each paper in the coming weeks, but here's a quick sneak peek 👀
At this year's ACL in Vienna, @lenajaeger.bsky.social and David Reich from our group, together with @whylikethis.bsky.social and Omer Shubi, will be hosting a tutorial on EyeTracking and NLP 👀 🖥️ Be there to join us!
More information can be found here: acl2025-eyetracking-and-nlp.github.io
Keynote Speakers:
🎤 @stefanfrank.bsky.social (Radboud University)
🎤 Vera Demberg (Saarland University)
For detailed guidelines, templates, and additional information, visit our website: lnkd.in/dCuXnxvk
We look forward to your contributions!
The meeting will take place on December 18–19, 2025, in Utrecht, the Netherlands. It aims to connect researchers using (neuro-)symbolic, Bayesian, deep-learning, connectionist, and mechanistic models (e.g., ACT-R) in studying human language production, perception, and processing.
Hello Bluesky world! This is our very first post from the Digital Linguistics (DiLi) team — and we’re kicking things off with exciting news:
🖥️ 🧠 We are pleased to announce that the abstract submission for the first Computational Psycholinguistics Meeting 2025 is now open!
