A content-aware approach for analysing eye movement patterns in virtual reality

Xi Cao, Richard Skarbez, Zhen He, Henry Been Lirn Duh

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

Abstract

Observing eye movement is a direct way to analyse human's attention. Eye movement patterns in normal environment have been widely investigated. In virtual reality (VR) environment, previous studies of eye movement patterns are mainly based on contentunrelated influential factors. Considering this issue, in this paper, a novel content-related factor is studied. One crucial kind of region of interest (ROI), namely vision-penetrable entrance, is chosen to analyse eye movement pattern differences. The results suggest that users show more interest in vision-penetrable entrances than in other regions. Furthermore, this kind of difference is identified as higher average density of fixation. As far as we know, this paper is the first attempt to study specific types of ROI in virtual reality environments. The method utilised in this paper can be applied in other ROI analysis.

Original languageEnglish
Title of host publicationProceedings - VRST 2019
Subtitle of host publication25th ACM Symposium on Virtual Reality Software and Technology
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450370011
DOIs
Publication statusPublished - 12 Nov 2019
Externally publishedYes
Event25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019 - Sydney, Australia
Duration: 12 Nov 201915 Nov 2019

Publication series

NameProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST

Conference

Conference25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019
Country/TerritoryAustralia
CitySydney
Period12/11/1915/11/19

Keywords

  • Omnidirectional panoramas
  • Virtual reality
  • Visual saliency

ASJC Scopus subject areas

  • Software

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