@inproceedings{3aedd0ceee37471684b26cc19fa89b7b,
title = "Gender differences in eye movements during online reading",
abstract = "This paper provides evidence of individual difference on digital reading, by examining male/female and good/poor readers{\textquoteright} eye tracking records (including pupil, blinks, fixations, saccades, and regressions). From 6,520 undergraduate students{\textquoteright} university entrance exam scores and the follow-up reading assessments, we strategically selected 74 participants (half males and half females, top 3% good readers and bottom 3% poor readers) from different disciplines. Results indicated that the major differences between male and female readers were saccade duration, regression rate, and blink rate. Good and poor readers differ significantly in most of the eye tracking indicators, and the major effects of reading ability were more obvious than the gender effects. Among all the eight indicators examined in this study, blink and regression rates are most sensitive to gender attribute, while fixation rate and saccade amplitude presented least sensitiveness. These findings would be helpful for user modeling with eye-tracking data in intelligent tutoring systems.",
keywords = "Digital reading, Eye movement, Eye tracking, Gender difference, Individual difference, Reading ability",
author = "Zehui Zhan and Jun Wu and Hu Mei and Fong, {Patrick S.W.} and Muxiong Huang and Fangfang Shao",
year = "2019",
month = jul,
doi = "10.1007/978-981-13-9895-7_21",
language = "English",
isbn = "9789811398940",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "235--243",
editor = "Cheung, {Simon K.S.} and Li, {Kam Cheong} and Lap-Kei Lee and Jianli Jiao and Xuebo Zhang and Zehui Zhan",
booktitle = "Technology in Education",
address = "Germany",
note = "4th International Conference on Technology in Education, ICTE 2019 ; Conference date: 15-03-2019 Through 17-03-2019",
}