Influence of ambient-tablet PC luminance ratio on legibility and visual fatigue during long-term reading in low lighting environment

Yu, Hanui; Akita, Takeshi

doi:10.1016/j.displa.2020.101943

Cited by 19 publications

(16 citation statements)

References 22 publications

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“…The visual fatigue measured by subjective fatigue questionnaire and Binocular fusion maintenance both showed that there was no difference between the degree of visual fatigue caused by these two display devices [17]. Yu and Akita used CFF to measure the difference in visual fatigue under various luminance ratios of tablet computers [18]. Critical flickerfusion frequency (CFF) test is to measure retinal response.…”

Section: Literature Reviewmentioning

confidence: 99%

Visual Fatigue Estimation by Eye Tracker with Regression Analysis

et al. 2022

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The traditional way to detect visual fatigue is to use the questionnaire or to use critical fusion frequency of high-frequency exchanges due to eye fatigue. The objective of this study was to explore whether eye movement behavior can be used as an objective tool to detect visual fatigue. Thirty-three participants were tested in this study. Their subjective visual fatigue survey, critical fusion frequency, and eye tracker of one minute gaze were measured before and after 20 minutes visual fatigue task. There were significant differences before and after visual fatigue task on survey and eye tracker-derived features. By multiple regression analysis with four eye tracker features, total fixation time duration of the inner circle, longest continuous duration of inner circle viewing time, maximum saccade distance, and focus radius, the regression R square value was greater than 0.9 for all critical fusion frequency data and when subjective visual fatigue assessment was greater than 12 points. In conclusion, eye movement behavior can be used to detect visual fatigue more sensitively even than the traditional critical flicker fusion assessment. Eye tracker can also provide well regression model to fit traditional critical fusion frequency measurement and subjective visual fatigue survey.

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Section: Literature Reviewmentioning

confidence: 99%

Visual Fatigue Estimation by Eye Tracker with Regression Analysis

et al. 2022

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“…The occurrence of visual fatigue is closely associated with reading and writing postures [10], display type [11,12], screen parameters [13], and the environment [14,15]. Previous studies have pointed out that when the preferred viewing distance and vertical gaze inclination are 90 cm and −10 • , respectively, there will be less visual fatigue when viewing visual displays [16].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Design of Vision Protection Products Based on Children’s Visual Fatigue under Online Learning Scenarios

Feng

Cai

et al. 2022

Healthcare

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The rate of myopia in children is increasing rapidly under online learning scenarios. One of the important reasons for this is incorrect reading and writing posture. Three screen view parameters (viewing angle, viewing height, and viewing distance) are selected as significant influencing factors and blink rating is used as a sign of visual fatigue through literature analysis to study the influence factors of myopia in children, and their correlation. Children’s visual fatigue is evaluated by subjective evaluation and is recording using an eye tracker for changes in the three factors through online learning scenario simulation experiment. An optimal regression model is constructed that illustrates the relationship between the three variables and the visual fatigue levels. The aim of this study is to confirm the quantitative relationship between the screen view parameters and visual fatigue, and to design a child vision protection product on this basis. The test results show there is a linear positive correlation between the viewing angle, viewing height, and viewing distance. A vision protection device has been designed based on this model and was verified through function prototype testing. The result of this study quantified the relationship among screen view parameters and children’s visual fatigue, which provides a theoretical basis for the design of a children’s visual protection device.

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“…Whether human eyes benefit from non-oxidative blue filtering remained unclear. Researchers have performed ergonomic studies to clarify the effects of display brightness [15][16][17] on visual and nonvisual effects [18][19][20], whereas they focused little on the fundus-vascular responses to different color-gamut coverages and color-deviation levels.…”

Section: Introductionmentioning

confidence: 99%

Fundus-Vascular Responses to Color Deviation Caused by Non-Oxidative Blue Filtering

Cai

Hao

Zeng

et al. 2022

Oxidative Medicine and Cellular Longevity

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Aims. Short-wavelength blue light damaged retina by the oxidative stress in the retinal pigment epithelial (RPE) cells. Filtering blue light from screen could reduce blue hazard, whereas it inevitably altered color-gamut coverage and color-deviation level. Although abnormal fundus-vascular density (FVD) sometimes indicated fundus disease, few researchers noticed its responses to the variation of color-gamut coverage and color-deviation level. Methods. In this study, we performed cellular experiments and analyzed the RPE cell viabilities (CVs) in spectrums with different blue (455-475 nm) ratios to describe the corresponding oxidative-stress levels. Further, we investigated the effects of color-gamut and deviation on FVD variations during the screen-watching task using human factor experiments with 30 participants (university students, including 17 males and 13 females, 21 to 30 years old). Results. RPE CVs were similar in different spectrums, implying that non-oxidative blue filtering hardly contributed to CV improvement. Color-deviation level seems to induce more significant effects on the visual function compared to color-gamut coverage, and MTF and FVD presents similar variation trends during the visual task. Conclusion. Oxidative-free blue filtering contributed little to decrease retinal oxidative stress yet caused color-deviation increase, which caused significant FVD reduction.

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Influence of ambient-tablet PC luminance ratio on legibility and visual fatigue during long-term reading in low lighting environment

Cited by 19 publications

References 22 publications

Visual Fatigue Estimation by Eye Tracker with Regression Analysis

Visual Fatigue Estimation by Eye Tracker with Regression Analysis

A Study on the Design of Vision Protection Products Based on Children’s Visual Fatigue under Online Learning Scenarios

Fundus-Vascular Responses to Color Deviation Caused by Non-Oxidative Blue Filtering

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