This case study focuses on quantifying the impact of saccadic eye movements in VR/AR environments, which differ from natural conditions and contribute to visual discomfort. We develop a predictive model based on VR/AR usage characteristics and suggest ergonomic improvements for these systems. Our methodology involves constructing a mathematical model to analyze saccadic phenomena and their relationship with visual strain, aiming to mimic natural eye movements to enhance comfort and promote wider adoption of VR/AR technologies. Key research questions include: (a) How do saccadic movements in VR/AR differ from natural conditions and affect visual discomfort? (b) Can we predict visual discomfort from these movements using VR/AR characteristics? And (c) What design changes can reduce discomfort in VR/AR headsets? We also stress the need for standardized metrics in testing VR and AR devices to ensure safety and comfort, advocating for industry-wide benchmarks to prevent health issues and enhance user experience.