MultiplEYE
Abstract
The MultiplEYE data collection project is a large-scale, multilingual effort to create a harmonized eye-tracking-while-reading corpus, conducted across numerous international research sites. Participants from diverse linguistic backgrounds read short, naturalistic texts while their eye movements are recorded using a standardized protocol. The study follows a within-subjects design and includes both reading and comprehension tasks, with recruitment and compensation procedures aligned with local ethical standards. The stimulus materials consist of parallel texts that vary in length and span a range of genres, including popular science, instructional, literary, and argumentative texts. These texts are professionally translated and adapted across languages, allowing for direct cross-linguistic and cross-script comparisons of reading behavior. In addition to the reading tasks, participants complete a battery of psychometric tests targeting cognitive and linguistic abilities such as working memory, inhibition, metalinguistic aptitude, and vocabulary knowledge. The primary goal of the MultiplEYE project is to provide high-quality, standardized data that support research on reading and language processing across languages and cultures. A jointly developed methodology ensures methodological consistency and thorough documentation across sites. The resulting dataset will be openly shared via EyeStore, a FAIR-compliant data repository hosted by the Leibniz Institute for Psychology (ZPID), to facilitate research in psycholinguistics and computational language modeling. This data collection initiative is part of the broader MultiplEYE network, supported by the European Cooperation in Science and Technology (COST) and funded by the European Union.
Fields of Study & Subjects
Reading and Literacy Development
Neurobiology of Language and Bilingualism
Gaze Tracking and Assistive Technology
Publication details
- Journal / source
- OSF Preprints (OSF Preprints)
- Publication date
- 12 August 2026
- Language
- EN
- Document type
- Preprint