Al-Ashwal, Wadhah, Asadi, Houshyar, Alsanwy, Shehab, Chalak Qazani, Mohamad Reza, Mohamed, Shady, and Nahavandi, Saeid (2024) Objective Assessment of Cybersickness in a Stationary Helicopter Simulator Using Pupil Diameter as a Quantitative Indicator. In: Proceedings of the 2024 IEEE International Systems Conference. From: SysCon 2024: IEEE International Systems Conference, Montreal, Canada, 15-18 April 2024.

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Abstract

Motion sickness (MS), particularly the type triggered by visual cues known as visually induced motion sickness (VIMS), occurs due to conflicting sensory signals and can arise from various visual devices like video games, VR, and simulators. Termed cybersickness in virtual environments, it can negatively impact health, simulator effectiveness, and VR training outcomes. Detecting and quantifying MS is essential for developing countermeasures. Existing research on cybersickness, particularly its relationship with physiological responses like pupil diameter (PD), has yielded inconsistent findings. This study focuses on cybersickness in a stationary helicopter simulator, using PD as a measure. It investigates how different weather conditions (clear vs. stormy) affect cybersickness, measured by the simulator sickness questionnaire (SSQ), and examines the correlation between SSQ scores and PD changes. The findings show a significant increase in SSQ total score from clear to stormy weather conditions. The results also suggest a trend of increased pupil diameter over time in stormy conditions with a slight significance.

Item ID:	87045
Item Type:	Conference Item (Research - E1)
ISBN:	979-8-3503-5880-3
Copyright Information:	© 2024, IEEE.
Funders:	Australian Research Council (ARC)
Date Deposited:	28 Aug 2025 02:10
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4607 Graphics, augmented reality and games > 460708 Virtual and mixed reality @ 20% 40 ENGINEERING > 4006 Communications engineering > 400607 Signal processing @ 60% 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400706 Field robotics @ 20%
SEO Codes:	28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280112 Expanding knowledge in the health sciences @ 100%
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