Researches on the Eye-Movement Mode of Chinese College Students in Reading English Websites

Abstract

In order to improve the immersion and interest of Chinese college students in English web pages reading, an eye-movement pattern inquiry experiment, which included 30 college student subjects, has been carried out in this research. A civilian eye tracker, Tobii Eye Tracker 4C, is chosen as the interactive device, the gaze time and regression are chosen as eye-movement indicators, and a set of classification models are built based on the differences of eye movements between familiar word reading and unfamiliar word reading. According to the classification models, a browser extension named Chinen Translation is developed, which can translate automatically and timely. In the usability test of Chinen, the prediction ability of the unknown words in the full text of the 30 subjects in the classification model is 96.69% for average, the highest is 99.35%, and the lowest is 93.55%.