Cybersickness and Evaluation of a Remediation System: A Pilot Study Many questions arise regarding the use of virtual reality (VR) in the naval military field. This is particularly the case from a human factorsxe2x80x99 perspective, where systemxe2x80x99s usability is supposed to guarantee userxe2x80x99s performance. Cybersickness, resulting from a sensory conflict between visual and vestibular systems, is one of the major limitations to the development of VR. Cybersickness can lead to nausea, oculomotor discomfort and disorientation. The major aim of the current study was to evaluate the efficiency of a remediation system for cybersickness. This system is designed to help remove the sensory conflict, thanks to miniature LED screens placed in the head mounted display (HMD). 18 subjects were confronted with a dynamic environment in VR, equipped with HMDs. Different physiological variables were measured during immersion. Every subject showed effects of cybersickness, starting, on average, after eight minutes of exposure, even if the system may reduce symptoms under certain conditions.

Prediction of Discomfort due to Egomotion in Immersive Videos for Virtual Reality We consider the problem of automatic assessment of visually induced motion sickness in virtual reality applications. In particular, we study the impact on visual discomfort due to camera motion or egomotion present in the video displayed through a head mounted display. We develop a database of 100 short duration videos with different camera trajectories, speeds and shake levels and conduct a large scale subjective study by collecting more than 4000 human ratings of discomfort levels. The videos are generated synthetically by applying different camera trajectories. We then use the subjective study to learn to predict discomfort by designing features describing the camera motion. The features are based on the ground truth camera trajectory and estimate the camera velocity and shake and depth of the visual scene. We show that these features can be effectively used to predict discomfort by obtaining a high correlation with the subjective discomfort scores provided by humans.