Researchers at Technion's Faculty of Data and Decision Sciences have developed eye-tracking technology that identifies a reader's goal—whether for general comprehension or specific information—with 90% accuracy. Presenting at the Association for Computational Linguistics, lead researcher Omer Shubi and team revealed the model achieves nearly 80% accuracy within two seconds of reading. Dr. Yevgeni Berzak stated, “These studies pave the way for new methods in assessing linguistic knowledge," highlighting broad applications in education and media.
Researchers at Technion's Faculty of Data and Decision Sciences have developed eye-tracking technology that identifies a reader's goal—whether for general comprehension or specific information—with 90% accuracy. Presenting at the Association for Computational Linguistics, lead researcher Omer Shubi and team revealed the model achieves nearly 80% accuracy within two seconds of reading. Dr. Yevgeni Berzak stated, “These studies pave the way for new methods in assessing linguistic knowledge," highlighting broad applications in education and media.