• Corpus ID: 233231606

Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents

@inproceedings{Kim2021TowardsAB,
  title={Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents},
  author={Hak Gu Kim and Sangmin Lee and Seong-Tae Kim and Heoun-taek Lim and Yong Man Ro},
  booktitle={AAAI},
  year={2021}
}
We address the black-box issue of VR sickness assessment (VRSA) by evaluating the level of physical symptoms of VR sickness. For the VR contents inducing the similar VR sickness level, the physical symptoms can vary depending on the characteristics of the contents. Most of existing VRSA methods focused on assessing the overall VR sickness score. To make better understanding of VR sickness, it is required to predict and provide the level of major symptoms of VR sickness rather than overall… 

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