IEEE2019Pune, India

Early Prediction of Cybersickness in Virtual, Augmented & Mixed Reality Applications: A Review

5th International Conference for Convergence in Technology (I2CT)

Paper · IEEE 2019

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Abstract

The field of Virtual, Augmented & Mixed Reality (VAMR) has already taken up the consumer market by storm and are demanding among users owing to their practicality and aesthetics. Despite the massive popularity and hype, VAMR carry a loathsome side-effect called “Cybersickness”, which is often times severe enough to cause significant discomfort to the users causing the discontinuation of use. There are systems to quantify and measure cybersickness but a symptom prediction tool which can be used by application developers to evaluate their products for cybersickness susceptibility is non-existent. This paper presents a summary of literature and provides a review and a discussion with the intentions of deriving a predictive algorithm which would ultimately address the research gap and missing links.

Keywords

cybersicknessvirtual realitycomputer-visionhuman-computer-interaction

Cite

@INPROCEEDINGS{9033650,
  author={Silva, Brion M. and Fernando, Pumudu},
  booktitle={2019 IEEE 5th International Conference for Convergence in Technology (I2CT)},
  title={Early Prediction of Cybersickness in Virtual, Augmented & Mixed Reality Applications: A Review},
  year={2019},
  volume={},
  number={},
  pages={1-6},
  keywords={Virtual reality;Computers;Physiology;Visualization;Sociology;Statistics;Fatigue;cybersickness;virtual reality;computer-vision;human-computer-interaction},
  doi={10.1109/I2CT45611.2019.9033650}}

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