Study on character input methods using eye-gaze input interface

Atsuo Murata, Kazuya Hayashi, Makoto Moriwaka, Takehito Hayami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Four character input methods for eye-gaze input interface were compared from the viewpoints of input speed, input accuracy, and subjective rating on ease of input and fatigue. Four input methods included (1) I-QGSM (vertical), (2) I-QGSM (circle), (3) eye-fixation method, and (4) screen button. While the eye-fixation method (3) led to faster input, the I-QGSM (vertical) led to fewer errors. In conclusion, it is difficult to develop character input method that satisfies both speed and accuracy.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationInteraction Modalities and Techniques - 15th International Conference, HCI International 2013, Proceedings
Pages320-329
Number of pages10
EditionPART 4
DOIs
Publication statusPublished - Jul 31 2013
Event15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: Jul 21 2013Jul 26 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume8007 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Human-Computer Interaction, HCI International 2013
CountryUnited States
CityLas Vegas, NV
Period7/21/137/26/13

Keywords

  • Character input
  • I-QGSM
  • accuracy
  • eye-fixation
  • eye-gaze input system
  • speed

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Study on character input methods using eye-gaze input interface'. Together they form a unique fingerprint.

  • Cite this

    Murata, A., Hayashi, K., Moriwaka, M., & Hayami, T. (2013). Study on character input methods using eye-gaze input interface. In Human-Computer Interaction: Interaction Modalities and Techniques - 15th International Conference, HCI International 2013, Proceedings (PART 4 ed., pp. 320-329). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8007 LNCS, No. PART 4). https://doi.org/10.1007/978-3-642-39330-3_34