Investigating differences in gaze and typing behavior across age groups and writing genres

Jun Wang, Eugene Yujun Fu, Grace Ngai, Hong Va Leong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019
EditorsVladimir Getov, Jean-Luc Gaudiot, Nariyoshi Yamai, Stelvio Cimato, Morris Chang, Yuuichi Teranishi, Ji-Jiang Yang, Hong Va Leong, Hossian Shahriar, Michiharu Takemoto, Dave Towey, Hiroki Takakura, Atilla Elci, Susumu Takeuchi, Satish Puri
PublisherIEEE Computer Society
Pages622-629
Number of pages8
ISBN (Electronic)9781728126074
DOIs
Publication statusPublished - Jul 2019
Event43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019 - Milwaukee, United States
Duration: 15 Jul 201919 Jul 2019

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume1
ISSN (Print)0730-3157

Conference

Conference43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019
Country/TerritoryUnited States
CityMilwaukee
Period15/07/1919/07/19

Keywords

  • Eye-gaze behavior
  • Eye-hand coordination
  • Human-computer interaction
  • Typing behavior

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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