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  • 标题:An Intelligent System to Improve Vocabulary and Reading Comprehension using Eye Tracking and Artificial Intelligence
  • 本地全文:下载
  • 作者:Harrisson Li ; Evan Gunnell ; Yu Sun
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2021
  • 卷号:11
  • 期号:17
  • 语种:English
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要: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.
  • 关键词:Eye-tracking;Artificial Intelligence;Vocabulary;Reading Comprehension
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