| Summary: | 碩士 === 中原大學 === 工業與系統工程研究所 === 104 === The goal of this research is that we use 3D virtual reality displays to test the effect it has on learning performance, visual fatigue and physiological signal under different lighting environment. Under three different environment of light which are white, red and yellow, participants are going to operate two equipments that vary in difficulties and to use three displays, which are shutter display, red-blue anaglyph display and blue-red anaglyph display. After learning how to disassembly and assembly the equipment, we will evaluate the performance including the operation time and the number of mistakes. Under two difficulties, there will be fifteen minutes continuously to learn. After learning, we will use physiological equipment with critical fusion frequency (CFF), evaluation questionnaire, heart rate variability and galvanic skin response to collect the records of visual fatigue and physiological signal. It is to analyze and discuss whether people’s learning performance, physiological reactions and visual fatigue will be effected by different displays and the environment of light.
The result of this research about the analysis of learning performance is that there are relations among operation time, the number of mistakes and the difficulties (P<0.01); the number of mistakes is related to lighting environment (P<0.01). Especially, the performance under white light is better than under yellow one. As for visual fatigue, the score of the questionnaire and CFF are not notable. However, the trends of the statistics show that no matter what displays and lighting environment, people’s eyes will have visual fatigue. When we use the anaglyph display under red light, visual fatigue is more apparent. Regarding to the variation of physiological signal, the frequency domain analysis shows that the red-blue anaglyph display is more apparent. But the trend of numerical values shows that the physiological condition of participants is more disturbed and anxious. Comparing the variation of physiological signals and the performance, we can find that participants perform better when feeling relaxed.
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