Effect of light environment on visual perception of dynamic video viewing with VDT

ZHANG Tao

doi:10.5768/JAO202445.0209003

Journal of Applied Optics > 2024 > 45(2): 262-275. > DOI: 10.5768/JAO202445.0209003

ZHANG Tao. Effect of light environment on visual perception of dynamic video viewing with VDT[J]. Journal of Applied Optics, 2024, 45(2): 262-275. DOI: 10.5768/JAO202445.0209003

Citation:

ZHANG Tao. Effect of light environment on visual perception of dynamic video viewing with VDT[J]. Journal of Applied Optics, 2024, 45(2): 262-275. DOI: 10.5768/JAO202445.0209003

Citation:

ZHANG Tao. Effect of light environment on visual perception of dynamic video viewing with VDT[J]. Journal of Applied Optics, 2024, 45(2): 262-275. DOI: 10.5768/JAO202445.0209003

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Effect of light environment on visual perception of dynamic video viewing with VDT

ZHANG Tao^{1, 2,}

1.
Academy for Engineering & Technology, Fudan University, Shanghai 200433, China
2.
Department of Light Sources and Illuminating Engineering, Fudan University, Shanghai 200433, China

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Received Date: September 07, 2023
Revised Date: December 12, 2023
Available Online: March 04, 2024

Graphical Abstract

Abstract

Abstract

In indoor video viewing scenarios using visual display terminal (VDT), the VDT off-screen background light can reduce the discomfort caused by the contrast between light and dark inside and outside the screen, and the color as well as luminance properties of light will affect visual perception of people. The effect of indoor light environment on the visual perception of dynamic video viewing with VDT was explored, so as to create a VDT viewing light environment that can improve visual perception. The human factor engineering experiments were carried out based on psychophysical method, and the indoor light environment took the color/color temperature and luminance of the light as independent variables. In experiment 1, 3 kinds of color colors and 3 kinds of white color temperatures were set. In experiment 2, 8 kinds of luminance conditions were set, the video materials were categorized as high-dynamic video and low-dynamic video according to dynamic level, and the visual perception of the subjects watching the video using VDT under different light environment conditions was measured. The results show that the colored light is preferred, which conducts lower fatigue, higher comfort and other visual feelings than white light, among which the green light is the most comfortable condition. The luminance range of 9 cd/m²~30 cd/m² is the most preferred, the condition range with best visual perception is 16 cd/m²~54 cd/m², conducting lower fatigue, higher comfort, atmosphere and display color quality, and visual perception is worst when the luminance exceeds 330 cd/m². The experimental results provide a reference for the study of the effect of indoor light environment on human visual perception, and provide practical guidance and suggestions for lighting design for improving visual perception of dynamic video viewing with VDT.
- visual display terminal,
- light environment,
- color,
- luminance,
- visual perception

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References (39)

References

[1]	徐明伟, 金龙哲, 田兴华, 等. 受限空间不同照度环境下 VDT 作业视觉疲劳[J]. 工程科学学报,2020,42(12):1605-1612. XU Mingwei, JIN Longzhe, TIAN Xinghua, et al. Visual fatigue of VDT operation under different illumination conditions in confined space[J]. Chinese Journal of Engineering,2020,42(12):1605-1612.
[2]	WANG L, TU Y, YANG L, et al. The impact of ambient illumination on visual fatigue while watching TV[C]//2015 12th China International Forum on Solid State Lighting (SSLCHINA). New York: IEEE, 2015.
[3]	LIN P H, CHEN J H. Effects of video type, display technique, and ambient illumination on visual and physiological performance[J]. Journal of Ambient Intelligence and Humanized Computing,2020(11):1-8.
[4]	IWANAMI T, KIKUCHI A, KANEKO T, et al. The relationship between ambient illumination and psychological factors in viewing of display images[J]. SPIE Conference on Color Imaging XIV: Displaying, Processing, Hardcopy and Applications,2009,7241:150-159.
[5]	SHEN Y, SHUGUANG K, ZHOU W, et al. Study of preferred background luminance in watching computer screen in children[J]. Chinese Medical Journal,2014,127:2073-2077. doi: 10.3760/cma.j.issn.0366-6999.20133232
[6]	MANTIUK R, REMPEL A G, HEIDRICH W. Display considerations for night and low-illumination viewing[J]. APGV Conference on Color and Imaging,2011(19):53-58.
[7]	SHEEDY J E, SMITH R, HAYES J. Visual effects of the luminance surrounding a computer display[J]. Ergonomics,2005,48:1114-1128. doi: 10.1080/00140130500208414
[8]	李田田, 张九红, 吕坤洁. 不同照明环境下VDT与纸质阅读媒体的实验研究综述[J]. 照明工程学报,2021,32(6):38-44. LI Tiantian, ZHANG Jiuhong, LYU Kunjie. A review of experimental research on VDT and paper reading media in different lighting environments[J]. China Illuminating Engineering Journal,2021,32(6):38-44.
[9]	OKABAYASHI S, MIURA H, SUGIE N, et al. Driver's perception of images in automotive multicolor display system[C]//IEEE Industry Applications Conference Forty-First IAS Annual Meeting. New York: IEEE, 2006:.
[10]	OSTBERG O. Accommodation and visual fatigue in display work[J]. Displays,1980,2(2):81-85. doi: 10.1016/0141-9382(80)90052-9
[11]	DOTULONG D, RARES L M, NAJOAN I. Computer vision syndrome[J]. e-CliniC,2021,9:253-262.
[12]	GOWRISANKARAN S, SHEEDY J E. Computer vision syndrome: a review[J]. Work,2015,52:303-314. doi: 10.3233/WOR-152162
[13]	XIA Z, TEUNISSEN K, LI X. Modeling of ambilight using a LED luminance distribution method[C]//Proceedings of China display / Asia display 2011. Kunshan: [s. n. ], 2011: 329-332.
[14]	闫静茹, 岳东林. 光环境视觉舒适度及光环境对人体健康影响研究综述[J]. 光源与照明,2021(9):47-49. YAN Jingru, YUE Donglin. A review of research on visual comfort in light environment and the impact of light environment on human health[J]. Lamps & Lighting,2021(9):47-49.
[15]	VEITCH J A, NEWSHAM G R. Determinants of lighting quality 1: state of science[J]. Journal of the Illuminating Engineering Society,1998,27(1):92-106. doi: 10.1080/00994480.1998.10748215
[16]	张敬怡, 吴雨婷, 王立雄, 等. VDT阅读照明环境视觉舒适性研究[J]. 照明工程学报,2020,31(2):68-74. ZHANG Jingyi, WU Yuting, WANG Lixiong, et al. Research on visual comfort of VDT reading lighting environment[J]. China Illuminating Engineering Journal,2020,31(2):68-74.
[17]	INOUE Y. Report on chromatic lighting in crime prevention[J]. Journal of the Illuminating Engineering Institute of Japan,2010,94(9):630-639.
[18]	FUJIMOTO A, INOUE Y. The study on the visual environment illuminated by using the chromatic light (part 2)[C]//Proceedings of Conference Architectural Institute of Japan. [S. l. ]: [s. n. ], 2008: 503-504.
[19]	YOSHIMURA Y, IWATA M. Study on the evaluation for difference of colour of illuminated buildings by model experiment[C]//Proceedings of Annual Conference of the Illuminating Engineering Institute of Japan. [S. l. ]: [s. n. ], 2006: 305-306.
[20]	WEIRICH C, LIN Y, KHANH T Q. Evidence for human-centric in-vehicle lighting: part 1[J]. Applied Sciences,2022,12(2):552. doi: 10.3390/app12020552
[21]	CIE. CIE 008: 2001 lighting of indoor work places[R]. Vienna: Commission Internationale de l’Eclairage, 2001.
[22]	North American Illumination Society. IESNA-2000[R]. IESNA: Board of Directors, 2000.
[23]	中国建筑科学研究院. 建筑照明设计标准: GB 50034-2013[S]. 北京: 中国建筑工业出版社, 2014: 8-50. North American Illumination Society. China academy of building sciences architectural lighting design standard: GB 50034-2013 [S]. Beijing: China Construction Industry Press, 2014: 8-50.
[24]	NUR G, DOGAN S, ARACHCHI H K, et al. Assessing the effects of ambient illumination change in usage environment on 3D video perception for user centric media access and consumption[C]. Heidelberg: Springer, 2010.
[25]	WANG Q, XU H, ZHANG F, et al. Influence of color temperature on comfort and preference for LED indoor lighting[J]. Optik-International Journal for Light and Electron Optics,2017,129:21-29. doi: 10.1016/j.ijleo.2016.10.049
[26]	ZENG Y, SUN H, YU J, et al. Effects of correlated color temperature of office light on subjective perception, mood and task performance[J]. Building and Environment,2022,224(3):38-42.
[27]	HAN L, ZHANG H, XIANG Z, et al. Desktop lighting for comfortable use of a computer screen[J]. Work,2021,68(s1):S209-S221. doi: 10.3233/WOR-208018
[28]	HWANG T, LEE D G, KIM J T. Optimal illuminance of seven major lighting colours in LED: focus on occupant comfort and communication in an indoor environment[J]. Indoor and Built Environment,2012,21(1):122-128. doi: 10.1177/1420326X11420013
[29]	DE MOOR K, ANDRÉN B, GUO Y, et al. Influence of high ambient illuminance and display luminance on readability and subjective preference[C]. [S. l. ]: SPIE, 2015.
[30]	REMPEL A G, HEIDRICH W, LI H, et al. Video viewing preferences for HDR displays under varying ambient illumination[C]//Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization, 2009. [S. l. ]: ACM, 2009: 45-52.
[31]	HARDING G F A, JEAVONS P M. Photosensitive Epilepsy[M]. London: Mac Keith Press, 1994: 161-165.
[32]	SMART L J, STOFFREGEN T A, BARDY B G. Visually induced motion sickness predicted by postural instability[J]. Human Factors,2002,44(3):451-465. doi: 10.1518/0018720024497745
[33]	OWENS D A, WOLF-KELLY K. Near work, visual fatigue, and variations of oculomotor tonus[J]. Investigative Ophthalmology and Visual Science,1987,28(4):743-749.
[34]	侯丹丹, 罗明, 郝洛西, 等. 人体健康评价方法在光环境研究中的适用度分析[J]. 照明工程学报, 2021, 32(3): 76-93. HOU Dandan, LUO Ming, HAO Luoxi, et al. Applicability analysis of human health assessment methods in light environment research [J] Journal of Lighting Engineering, 2021, 32 (3): 76-93.
[35]	BENEDETTO S, DRAI-ZERBIB V, PEDROTTI M, et al. E-readers and visual fatigue[J]. Public Library of Science One,2013,8(12):e83676.
[36]	KUZE J, UKAI K. Subjective evaluation of visual fatigue caused by motion images[J]. Displays,2008,29(2):159-166. doi: 10.1016/j.displa.2007.09.007
[37]	TOMCZAK M, TOMCZAK E. The need to report effect size estimates revisited. An overview of some recommended measures of effect size[J]. Trends in Sport Sciences,2014,1:19-25.
[38]	COHEN J. Statistical power analysis[J]. Current Directions in Psychological Science,1992,1(3):98-101. doi: 10.1111/1467-8721.ep10768783
[39]	HUANG Z, LIU Q, LIU Y, et al. Best lighting for jeans, part 1: optimising colour preference and colour discrimination with multiple correlated colour temperatures[J]. Lighting Research and Technology,2018,51(8):1208-1223.

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Effect of light environment on visual perception of dynamic video viewing with VDT