计算机科学
阅读(过程)
背景(考古学)
眼动
词汇
理解力
凝视
人机交互
阅读理解
过程(计算)
领域(数学)
跟踪(教育)
钥匙(锁)
人工智能
自然语言处理
语言学
心理学
哲学
古生物学
教育学
数学
计算机安全
纯数学
生物
程序设计语言
操作系统
作者
Enkeleda Thaqi,Mohamed Omar Mantawy,Enkelejda Kasneci
标识
DOI:10.1145/3649902.3655661
摘要
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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