Researchers from the Faculty of Data and Decision Sciences at the Technion have developed a technology capable of identifying various aspects of a reader’s interaction with a text that is based solely on their eye movements.
The team’s findings were presented at Association for Computational Linguistics, a conference in the field of Natural Language Processing (NLP) in Vienna. The research was led by doctoral student Omer Shubi, together with master’s student Cfir Hadar, under the supervision of Dr. Yevgeni Berzak.
People read texts with different goals. Whether it’s a novel, a cooking recipe, a newspaper article, or a scientific paper, each type of text can be approached with various intentions. Two common reading goals are general comprehension (regular reading) and information search.
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