# SARA: Smart AI Reading Assistant for Reading Comprehension

arXiv: https://arxiv.org/abs/2404.06906 · HTML: https://mlsanity.com/paper/2404.06906/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Apr 2024.

## Built on by (most cited first, 4 of 4)

- [Reading Recognition in the Wild](https://mlsanity.com/paper/2505.24848/) (2025)
- [Transforming Science Learning Materials in the Era of Artificial Intelligence](https://mlsanity.com/paper/2602.18470/) (2026)
- [From Gaze to Guidance: Interpreting and Adapting to Users' Cognitive Needs with Multimodal Gaze-Aware AI Assistants](https://mlsanity.com/paper/2604.08062/) (2026)
- [Sure About That Line? Approaching Confidence-Based, Real-Time Line Assignment in Reading Gaze Data](https://mlsanity.com/paper/2605.00033/) (2026)

## Abstract (arXiv)

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.