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eye-tracking

topic2 events
papersTODAY 04:00 UTC

LEXIC: Compact Model Predicts Reading Comprehension from Eye Movements

Researchers introduced LEXIC, a small recurrent neural network that estimates whether a reader understood a text by analyzing eye fixation patterns alongside word frequency and word length. The model is designed to run on-device with a compact footprint, which could enable reading interfaces that adapt to a user's comprehension in real time.

research/eye-tracking/on-device/reading
papersTODAY 04:00 UTC

Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions

Researchers propose using recordings of how listeners' eyes move while they interpret a speaker's description as a training signal for vision-language models. By converting these gaze scanpaths into incremental feedback, the models learn to produce referring expressions that are more pragmatically suited to the listener. The work is presented as an arXiv preprint in the computation and language category.

vision-language/gaze/fine-tuning/referring-expressions