Academy & Industry Research Collaboration Center (AIRCC)

Volume 11, Number 17, October 2021

An Intelligent System to Improve Vocabulary and Reading Comprehension
using Eye Tracking and Artificial Intelligence


Harrisson Li1, Evan Gunnell2, Yu Sun3, 1USA, 23218 Napoli Way, USA, 3California State Polytechnic University, USA


When reading, many people frequently come across words they struggle with, and so they approach an online dictionary to help them define the word and better comprehend it. However, this conventional method of defining unknown vocabulary seems to be inefficient and ineffective, particularly for individuals who easily get distracted. Therefore, we asked ourselves: “how we could develop an application such that it will simultaneously aim to help define difficult words and improve users’ vocabulary while also minimizing distraction?”. In response to that question, this paper will go in depth about an application we created, utilizing an eye-tracking device, to assist users in defining words, and enhance their vocabulary skills. Moreover, it includes supplemental materials such as an image feature, “search” button, and generation report to better support users' vocabulary.


Eye-tracking, Artificial Intelligence, Vocabulary, Reading Comprehension.