@inproceedings{04b9f9d77a9f4309b5ca4d01f5c7946b,
title = "Investigating differences in gaze and typing behavior across age groups and writing genres",
abstract = "Typing is one of the most common activities that are undertaken on a computer. It would therefore be interesting to investigate whether it is possible to deduce characteristics of the user, such as their age or the type of the document that they are writing, just simply from typing dynamics. In this paper, we study the coordination between eye gaze and typing dynamics, or the gaze-typing behavior, of subjects who are producing original text. We focus upon the differences between different age groups (children vs elderly seniors) and different genres of writing (reminiscent, logical and creative). Using machine-learning, we achieve an accuracy of 93.5% for age detection and 61.1% for the article-category detection, using a leave-one-subject-out cross-validation evaluation, which is 44% and 28% higher than baselines.",
keywords = "Eye-gaze behavior, Eye-hand coordination, Human-computer interaction, Typing behavior",
author = "Jun Wang and Fu, {Eugene Yujun} and Grace Ngai and Leong, {Hong Va}",
year = "2019",
month = jul,
doi = "10.1109/COMPSAC.2019.00095",
language = "English",
series = "Proceedings - International Computer Software and Applications Conference",
publisher = "IEEE Computer Society",
pages = "622--629",
editor = "Vladimir Getov and Jean-Luc Gaudiot and Nariyoshi Yamai and Stelvio Cimato and Morris Chang and Yuuichi Teranishi and Ji-Jiang Yang and Leong, {Hong Va} and Hossian Shahriar and Michiharu Takemoto and Dave Towey and Hiroki Takakura and Atilla Elci and Susumu Takeuchi and Satish Puri",
booktitle = "Proceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019",
address = "United States",
note = "43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019 ; Conference date: 15-07-2019 Through 19-07-2019",
}