Exploring the Effect of Different Screen Sizes and Visual Presentation on Visual Fatigue Based on EEG

• Main Authors: Meng-Hsing Hsiao, 蕭盟興
• Other Authors: Hsiu-Sen Chiang
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/x5bb7b

碩士 === 國立臺中科技大學 === 資訊管理系碩士班 === 105 === With the rapid changes of information technology, Most people spend more and more time in front of screens of computers, cell phones and tablets but could this be causing damage to your eyes? Although the Internet brings more different applications and convenience, people tend to use computers and mobile devices for a long time, making the damage to the eyes. It will be a very serious problem. In recent years, display technology has advanced significantly and it is no longer limited to only two-dimensional (2D) flat images. With rapid advances in the optics, and projection technologies, three-dimensional (3D), augmented reality (AR) and virtual reality (VR) display technologies are making their way into the marketplace. However, most people are oblivious to understand the effects of these display technologies (especially AR and VR) use on the eyes and vision, which has not clear conclusion. Some researches show that watching 3D imaging technology will increase the burden on the eye, and cause visual fatigue and discomfort. In the past, few studies add AR and VR visual presentation types to investigate the effects of the display type, screen size on visual fatigue and discomfort. Moreover, fewer studies also try to quantify visual fatigue by analyzing physiological parameters. Researches find that electroencephalogram (EEG) not only can be used to observe changes in the brain, but also become an objective visual fatigue assessment tool. This study develops an EEG-based applicable model to detect and quantify visual fatigue by using linear discriminant analysis and min-max scaling. This study also designs an experiment: screen sizes (phone, tablets, computer,) × visual presentation (2D, 3D, AR, VR) to observe the effects of different screen sizes and use of different imaging technologies on visual fatigue. The proposed assessment model is used to explore the effects of different screen sizes and visual presentation on visual fatigue. The results show that the key brain wave features respond visual fatigue on 2D, 3D visual presentation are the delta and theta in the prefrontal lobe (Fp1 and Fp2). The key brain waves that reflect the visual fatigue on AR and VR visual presentation are the alpha in in the temporal (O1 and O2), and the delta and theta in the left central sulcus, respectively. In addition, we find out that the visual fatigue will be increased with a greater screen size. Moreover, VR can cause considerable visual fatigue in all visual presentation types, even greater than the 3D. Our proposed model will provide references for the individual''s visual fatigue state. The research results will to help people to avoid hurting eyes when watching digital screens and keep their eyes healthy.