Processing and Analysing Eye-Tracking Data in R

This tutorial introduces the complete workflow for processing and analysing eye-tracking data in R, covering data loading, area-of-interest (AOI) coding, binning, cleaning, and statistical analysis using eyetrackingR, mixed-effects models, and Generalised Additive Mixed Models (GAMMs). It uses a synthetic dataset modelled on a visual world paradigm experiment and is aimed at researchers in psycholinguistics and language acquisition. This tutorial is part of the Language Technology and Data Analysis Laboratory (LADAL), a free, open-access research infrastructure at the University of Queensland. LADAL provides tutorials, tools, and courses for researchers working with language data. All materials are freely available at https://ladal.edu.au and are part of the Language Data Commons of Australia (LDaCA), funded by ARDC and NCRIS.