Eye tracking technology is used in a wide range of scientific fields, including cognitive psychology, linguistics and computer science. This non-invasive technology is considered to be the gold-standard method in reading task research (Rayner and Carroll, 2018). Currently, monolingual eye tracking datasets are available in English (Dundee Corpus, UCL Corpus, GECO), Dutch, German. However, there is a lack of multilingual data sets that allow for comparative studies across languages. There is also a lack of larger-scale studies and systematic research on the impact of social factors on text comprehension. The project is aimed at creating an interdisciplinary network of researchers enabling collection of data for experimental eye tracking studies by sharing infrastructure and knowledge across disciplines, including linguistics, psychology and computer science.
Project funding:
COST actions
Project results:
A corpus of multilingual eye tracking data is being created. The eye-tracking lab of KTU Faculty of Social Sciences, Arts and Humanities is used to colect the eye-tracking data in Lithuanian. The MultiplEYE network will empower researchers to make technological breakthroughs in explainable artificial intelligence through cognitive dat, and extend advances in language technology to small languages.
Period of project implementation: 2022-09-28 - 2026-09-27
Project partners: Albania, Bosnia and Herzegovina, Croatia, Estonia, Greece, Israel, Netherlands, Norway, Poland, Portugal, Romania, Sweden, United Kingdom, Cyprus, Denmark, Germany, Ireland, Malta, North Macedonia, Serbia, Slovenia, Spain, Switzerland, Turkey, Czech Republic, France
