Study on cursor shape suitable for eye-gaze input system

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

1 Citation (Scopus)

Abstract

The aim of this study was to identify the cursor shape suitable for eye-gaze interfaces. The conventional arrow shape was, irrespective of the number of targets in the display, not suitable for an eye-gaze input system from the perspective of task completion time, number of errors, and subjective rating on usability. It is recommended that the cursor shape of an eye-gaze input system should be cross or ellipse. When the distance between targets is wider, the ellipse type is proper.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationInteraction Modalities and Techniques - 15th International Conference, HCI International 2013, Proceedings
Pages312-319
Number of pages8
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

  • accuracy
  • cursor shape
  • eye-gaze input system
  • speed

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Murata, A., Uetsugi, R., & Hayami, T. (2013). Study on cursor shape suitable for eye-gaze input system. In Human-Computer Interaction: Interaction Modalities and Techniques - 15th International Conference, HCI International 2013, Proceedings (PART 4 ed., pp. 312-319). (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_33