Papers by Francesca Zermiani

1 papers
InteRead: An Eye Tracking Dataset of Interrupted Reading (2024.lrec-main)

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Challenge: Eye movements during reading can provide insights into cognitive processes and language comprehension, but the scarcity of reading data with interruptions hampers advances in the development of intelligent learning technologies.
Approach: They propose a dataset of eye movements during reading that includes eye movements and word frequency effects.
Outcome: The proposed dataset shows that interruptions, word length and word frequency effects significantly impact eye movements during reading.

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