TY - GEN
T1 - A content-aware approach for analysing eye movement patterns in virtual reality
AU - Cao, Xi
AU - Skarbez, Richard
AU - He, Zhen
AU - Duh, Henry Been Lirn
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/11/12
Y1 - 2019/11/12
N2 - 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.
AB - 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.
KW - Omnidirectional panoramas
KW - Virtual reality
KW - Visual saliency
UR - http://www.scopus.com/inward/record.url?scp=85076145929&partnerID=8YFLogxK
U2 - 10.1145/3359996.3364723
DO - 10.1145/3359996.3364723
M3 - Conference article published in proceeding or book
AN - SCOPUS:85076145929
T3 - Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST
BT - Proceedings - VRST 2019
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery
T2 - 25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019
Y2 - 12 November 2019 through 15 November 2019
ER -