SARA: Smart AI Reading Assistant for Reading Comprehension
April 10, 2024 Β· Declared Dead Β· π Eye Tracking Research & Application
"No code URL or promise found in abstract"
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Authors
Enkeleda Thaqi, Mohamed Mantawy, Enkelejda Kasneci
arXiv ID
2404.06906
Category
cs.HC: Human-Computer Interaction
Citations
9
Venue
Eye Tracking Research & Application
Last Checked
4 months ago
Abstract
SARA integrates Eye Tracking and state-of-the-art large language models in a mixed reality framework to enhance the reading experience by providing personalized assistance in real-time. By tracking eye movements, SARA identifies the text segments that attract the user's attention the most and potentially indicate uncertain areas and comprehension issues. The process involves these key steps: text detection and extraction, gaze tracking and alignment, and assessment of detected reading difficulty. The results are customized solutions presented directly within the user's field of view as virtual overlays on identified difficult text areas. This support enables users to overcome challenges like unfamiliar vocabulary and complex sentences by offering additional context, rephrased solutions, and multilingual help. SARA's innovative approach demonstrates it has the potential to transform the reading experience and improve reading proficiency.
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