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Effects of screen size and visual presentation on visual fatigue based on regional brain wave activity

机译:基于区域脑波活动的屏幕尺寸和视觉介绍对视觉疲劳的影响

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Advances in information technologies have resulted in people spending increasing amounts of time staring at electronic screens. Long-term use of computers, mobile phones, and tablets can cause eye soreness and fatigue, but can also cause more serious conditions including myopia, cataracts, and glaucoma. This study assesses changes in brain wave activity detected by eight electrodes targeting different brain regions to identify and assess the brain wave patterns in the regions associated with visual fatigue under various visual presentation methods. Furthermore, linear discriminant analysis and Min-Max scaling techniques are applied to develop a visual fatigue assessment model to quantify visual fatigue. Finally, experiments are run to assess the impact of screen size (smartphone, tablet, computer) and visual presentation mode (2D, 3D, AR, VR) on visual fatigue. This study finds that (1) the brain wave features which influence the reaction to 2D and 3D imaging are the delta and theta waves at the prefrontal Fp1 and Fp2 poles. When viewing AR images, the alpha bands at the O1 and O2 poles of the occipital lobe show a relatively clear impact, while the delta and theta waves at the C3 pole in the left center area are associated with VR images; (2) larger screens cause greater visual fatigue, indicating that excessive visual stimulation will increase visual loading and thus produce greater visual fatigue; (3) the results show that VR can cause quite severe visual fatigue, along with motion sickness passed on sensory mismatch. Therefore, it is recommended to avoid viewing experiences that are inconsistent with the brain's physiological experience, such as walking while viewing a mobile phone, or reading in a moving car. The proposed visual fatigue assessment model provides easy and objective quantification of visual fatigue indicators, contributing to the reduction of risk for eye injury and disease.
机译:信息技术的进步导致人们花费越来越多的时间盯着电子屏幕。长期使用计算机,手机和平板电脑会导致眼睛疼痛和疲劳,但也会导致更严重的病症,包括近视,白内障和青光眼。该研究评估了靶向不同脑区域的八个电极检测到的脑波活动的变化,以在各种视觉呈现方法下识别和评估与视觉疲劳相关的区域中的脑波图案。此外,应用线性判别分析和最小最大缩放技术来开发视觉疲劳评估模型以量化视觉疲劳。最后,运行实验以评估屏幕尺寸(智能手机,平板电脑,计算机)和视觉呈现模式(2D,3D,AR,VR)对视觉疲劳的影响。该研究发现(1)影响反应对2D和3D成像的脑波特征是前额相FP1和FP2杆处的Δ和θ波。在观看AR图像时,枕叶O1和O2杆处的α带显示出相对明显的影响,而左中心区域C3极点的Δ和θ波与VR图像相关联; (2)较大的屏幕造成更大的视觉疲劳,表明过度的视觉刺激会增加视觉载荷,从而产生更大的视觉疲劳; (3)结果表明,VR可能导致相当严重的视觉疲劳,以及在感官失配的情况下的晕车。因此,建议避免观看与大脑生理经验不一致的经验,例如在观看手机时散步,或在移动的车中读取。所提出的视觉疲劳评估模型提供了轻松且客观的视觉疲劳指标,有助于降低眼部损伤和疾病的风险。

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