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  4. Eye Thought You Were Sick! Exploring Eye Behaviors for Cybersickness Detection in VR
 
conference paper

Eye Thought You Were Sick! Exploring Eye Behaviors for Cybersickness Detection in VR

Lopes, Phil
•
Tian, Nana  
•
Boulic, Ronan  
October 16, 2020
Proceedings of the 13th Annual ACM SIGGRAPH Conference on Motion, Interaction and Games
The 13th Annual ACM SIGGRAPH Conference on Motion, Interaction and Games

Cybersickness induced through Virtual Reality (VR) applications is still one of its main barriers as it can induce unwanted side-effects in players, significantly hindering the overall experience. Despite the wealth of research available on this topic, it is still an unsolved problem. Although previous studies have explored methods of cybersickness mitigation in addition to correlating physiological factors, there has been little research on the potential correlation of eye behavior and cybersickness. Thanks to advances in eye-tracking technology within HMDs, detecting eye behavior has become a much easier process. This paper explores the differences of pupil position and blink rate in relation to cybersickness intensity. The latter is measured through the standard and a customized version of the Simulator Sickness Questionnaire (SSQ). A total of 34 participant data was collected from two separate playing sessions of a VR maze game, where each session presented a unique control scheme.

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Type
conference paper
DOI
10.1145/3424636.3426906
Author(s)
Lopes, Phil
Tian, Nana  
Boulic, Ronan  
Date Issued

2020-10-16

Publisher

ACM

Published in
Proceedings of the 13th Annual ACM SIGGRAPH Conference on Motion, Interaction and Games
Subjects

Cybersickness Detection

•

Eye Tracking

•

Blink Rate

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-IC-RB  
Event nameEvent placeEvent date
The 13th Annual ACM SIGGRAPH Conference on Motion, Interaction and Games

Charleston, South Carolina, USA

October 16-18, 2020

RelationURL/DOI

IsSupplementedBy

https://zenodo.org/record/3702309
Available on Infoscience
October 9, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/172384
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