SiSiMo: Towards Simulator Sickness Modeling for 360° Videos Viewed with an HMD

Users may experience symptoms of simulator sickness while watching 360^{\circ}/VR videos with Head-Mounted Displays (HMDs). At present, practically no solution exists that can efficiently eradicate the symptoms of simulator sickness from virtual environments. Therefore, in the absence of a solution,...

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Bibliographic Details
Published in2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) pp. 583 - 584
Main Authors Raake, Alexander, Singla, Ashutosh, Rao, Rakesh Rao Ramachandra, Robitza, Werner, Hofmeyer, Frank
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2020
Subjects
360° Video
Conferences
Cybersickness
Indexes
Predictive models
Resists
sickness predictor
Solid modeling
Video sequences
Videos
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Summary:Users may experience symptoms of simulator sickness while watching 360^{\circ}/VR videos with Head-Mounted Displays (HMDs). At present, practically no solution exists that can efficiently eradicate the symptoms of simulator sickness from virtual environments. Therefore, in the absence of a solution, it is required to at least quantify the amount of sickness. In this paper, we present initial work on our Simulator Sickness Model SiSiMo including a first component to predict simulator sickness scores over time. Using linear regression of short term scores already shows promising performance for predicting the scores collected from a number of user tests.
DOI:10.1109/VRW50115.2020.00142