A Review on the Development of Subjective Evaluation of Visual Fatigue
Feng Yong1#*, Zhu Shufeng2,3, Chen Fei1#
1(Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China) 2(Hangzhou Ren-ai Hearing Rehabilitation Research Centre, Hangzhou 310000, China) 3(Shenzhen Yiting Health Science and Technology Ltd., Shenzhen 518102, Guangdong, China)
Abstract:Visual fatigue is very common in the contemporary life, which not only reduces our visual efficiency, but may also cause diseases of eyes, head, neck or shoulders, as well as psychological problems. Therefore, the measurement of visual fatigue has always been an important part of research in visual ergonomics and clinical ophthalmology. In order to break through the bottleneck problems of standards, reliability and consuming time in the subjective measurement of visual fatigue, this paper first reviewed massive studies on this topic in the past 30 years, dividing subjective measures into three categories: the classic, professional and new types of scales according to the design and parameter characteristics, followed by the introduction of the current statuses. Then, the features as well as advantages and disadvantages of the mainstream scales were discussed in depth, with emphasis on the bottleneck problems. Detailed and specific suggestions as well as some exploratory proposals on further development were proposed, such as integrating objective parameters, intelligent adaptation for items, visual scene expansions and system integration. At last, some trends and new directions for the research on subjective measurement of visual fatigue were envisaged for future.
冯永, 朱淑丰, 陈霏. 视疲劳主观测量研究发展综述[J]. 中国生物医学工程学报, 2021, 40(5): 597-607.
Feng Yong, Zhu Shufeng, Chen Fei. A Review on the Development of Subjective Evaluation of Visual Fatigue. Chinese Journal of Biomedical Engineering, 2021, 40(5): 597-607.
[1] 郭玲. 从在线办公到在线经济 多少巨头在打“无边界”的主意 [J]. 小康, 2020, 12: 65-66. [2] Blake R, Sekuler R. Perception [M]. 5th. New York. McGraw-Hill Publishing, 2006: 1-10. [3] Hirota M, Morimoto T, Kanda H, et al. Objective evaluation of visual fatigue using binocular fusion maintenance [J]. Transl Vis Sci Technol., 2018, 7(2): 9-9. [4] Song Mengchuang, Li Lina, Guo Jintao, et al. A new method for muscular visual fatigue detection using electrooculogram [J]. Biomed Signal Process Control, 2020, 58(Apr.): 101865.1-101865.9. [5] Bali J, Neeraj N, Bali RT. Computer vision syndrome: a review[J]. J Clin Ophthal Res, 2014, 2(1): 61-61. [6] 石继荣. 关于“视频终端综合征、干眼症、沙眼”探究 [J]. 临床医药文献电子杂志, 2017, 4(43): 8407-8407. [7] Sheppard AL, Wolffsohn JS. Digital eye strain: prevalence, measurement and amelioration [J]. Bmj Open Ophthal, 2018, 3(1): e000146. [8] Yamada NY. Abnormal tear dynamics and symptoms of eyestrain in operators of visual display terminals [J]. Occup Environ Med, 1999, 56(1): 6-9. [9] Blehm C, Vishnu S, Khattak A, et al. Computer vision syndrome: A review [J]. Surv Ophthal, 2005, 50(3): 253-262. [10] 李洪润, 王宾, 段丽云. 对某部机关人员计算机视觉综合征的调查分析 [J]. 华南国防医学杂志, 2010, 24(1): 80-82. [11] Council Vision. Eyes overexposed: the digital device dilemma [EB/OL]. https://visionimpactinstitute.org/wp-content/uploads/2016/03/2016EyeStrain_Report_WEB.pdf, 2016-03-01/2021-02-01 [12] Han Chengcheng, Liu Rong, Liu Ruru, et al. Prevalence of asthenopia and its risk factors in Chinese college students [J]. Int J Ophthal, 2013, 6(5): 718-722. [13] Xu Yupeng, Deng Guoying, Wang Wweiheng, et al. Correlation between handheld digital device use and asthenopia in Chinese college students: A Shanghai study [J]. Acta Ophthalmol, 2019, 97(3): e442-e447. [14] Kushali R, Brundha MP. Prevalence and awareness on computer vision syndrome among individuals in information technology [J]. Drug Invent Today, 2020, 14(3): 416-419. [15] Vilela MAP, Castagno VD, Meucci RD, et al. Asthenopia in schoolchildren [J]. Clin Ophthal, 2015, 9: 1595-1603. [16] Wu SZZ, Chong JK, Tracer N, et al. Prevalence of dry eye symptoms and relationship to screen time in a New York City pediatric population [J]. Invest Ophthal & Vis Sci, 2020, 61(7): 340-340. [17] Portello JK, Rosenfield M, Bababekova Y, et al. Computer-related visual symptoms in office workers [J]. Ophthalmic Physiological Opt, 2012, 32(5): 375-382. [18] Bhattacharya S, Saleem SM, Singh A. Digital eye strain in the era of COVID-19 pandemic: an emerging public health threat [J]. Indian J Ophthal, 2020, 68(8): 1709-1710. [19] Hussaindeen JR, Gopalakrishnan A, Sivaraman V, et al. Managing the myopia epidemic and digital eye strain post COVID-19 pandemic-What eye care practitioners need to know and implement? [J]. Indian J Ophthal, 2020, 68(8): 1710-1712. [20] 和鑫. 广州市某医科院校医学生在线学习现状调查与分析 [J]. 中华医学教育探索杂志, 2020, 19(6): 736-740. [21] Thorud HMS, Helland M, Aaras A, et al. Eye-related pain induced by visually demanding computer work [J]. Optom Vis Sci, 2012, 89(4): e452-e464. [22] 王向华, 李秋明. 不同年龄组视疲劳的原因探察 [J]. 中国现代医学杂志, 2007, 17(18): 2226-2229. [23] WHO. International classification of diseases 11th revision [EB/OL]. https://icd.who.int/en, 2020-03-23/2020-08-20. [24] Ong CN, Koh D, Phoon WO. Review and reappraisal of health hazards of display terminals [J]. Displays, 1988, 9(1): 3-13. [25] Wang Yan, Zhai Guangtao, Zhou Shaoqian, et al. Eye fatigue assessment using unobtrusive eye tracker [J]. IEEE Access, 2018, 6: 55948-55962. [26] Lin Yenhui, Chen Chihyong, Lu Shihyi, et al. Visual fatigue during VDT work: effects of time-based and environment-based conditions [J]. Displays, 2008, 29(5): 487-492. [27] Zhang Yunhong, Yang Haibo, Xu Yufeng, et al. Comparison of visual comfort and fatigue between watching different types of 3D TVs as measured by eye tracking [C] //Baldwin C. Advances in Neuroergonomics and Cognitive Engineering. Los Angeles: Springer, 2017: 175-186. [28] Heuer H, Hollendiek G, Kroger H, et al. Die Ruhelage der Augen und ihr Einfluss auf Beobachtungsabstand und visuelle Erm dung bei Bildschirmarbei [J]. Zeitschrift für experimentelle und angewandte psychologie, 1989, 36(4): 538-566. [29] Kennedy RS, Lane NE, Berbaum KS, et al. Simulator sickness questionnaire: An enhanced method for quantifying simulator sickness [J]. Int J Aviat Psychol, 1993, 3(3): 203-220. [30] Walt JG, Rowe MM, Stern KL. Evaluating the functional impact of dry eye: the Ocular Surface Disease Index [J]. Drug Inf J, 1997, 31: 1436. [31] Iribarren R, Fornaciari A, Hung GK. Effect of cumulative nearwork on accommodative facility and asthenopia [J]. Int Ophthal, 2001, 24(4): 205-212. [32] Sheedy JE, Hayes J, Engle J. Is all asthenopia the same? [J]. Optom Visi Sci, 2003, 80(11): 732-739. [33] Ames SL, Wolffsohn JS, Mcbrien NA. The development of a symptom questionnaire for assessing virtual reality viewing using a head-mounted display [J]. Optom Visi Sci, 2005, 82(3): 168-176. [34] Abetz L, Rajagopalan K, Mertzanis P, et al. Development and validation of the impact of dry eye on everyday life (IDEEL) questionnaire, a patient-reported outcomes (PRO) measure for the assessment of the burden of dry eye on patients [J]. Health Qual Life Outcomes, 2011, 9(1): 111. [35] Sakane Y, Yamaguchi M, Yokoi N, et al. Development and validation of the dry eye-related quality-of-life score questionnaire [J]. JAMA Ophthal, 2013, 131(10): 1331-1338. [36] del Mar Seguí M, Cabrero-García J, Crespo A, et al. A reliable and valid questionnaire was developed to measure computer vision syndrome at the workplace [J]. J Clin Epidem, 2015, 68(6): 662-673. [37] Choi JH, Li Y, Kim SH, et al. The influences of smartphone use on the status of the tear film and ocular surface [J]. PloS one, 2018, 13(10): e0206541. [38] Heiden M, Zetterberg C, Lindberg P, et al. Validity of a computer-based risk assessment method for visual ergonomics [J]. Int J Ind Ergon, 2019, 72: 180-187. [39] 中华医学会眼科学分会眼视光学组. 视疲劳诊疗专家共识(2014年).中华眼视光与视觉科学杂志, 2014; 16(7): 385-387. [40] Hayes JR, Sheedy JE, Stelmack JA, et al. Computer use, symptoms, and quality of life [J]. Optom Vis Sci, 2007, 84(8): e738-e755. [41] Jaschtnski-Kruza, W. On the preferred viewing distances to screen and document at VDU workplaces [J]. Ergonomics, 1990, 33(8): 1055-1063. [42] 中国食品药品监督管理局. 缓解视疲劳功能评价方法[EB]// 保健食品检验与评价技术规范(2003版). 2003-05-01/2021-02-01 [43] Hoffman DM, Girshick AR, Akeley K, et al. Vergence-accommodation conflicts hinder visual performance and cause visual fatigue [J]. J Vis, 2008, 8(3): 33-33. [44] Feng Yong, Wang Lei, Chen Fei. An eye-tracking based evaluation on the effect of far-infrared therapy for relieving visual fatigue [C] //41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Berlin: IEEE, 2019: 313-316. [45] Benedetto S, Carbone A, Drai-Zerbib V, et al. Effects of luminance and illuminance on visual fatigue and arousal during digital reading [J]. Comput Human Behav, 2014, 41: 112-119. [46] Guo Jie, Weng Dongdong, Zhang Zhenliang, et al. Subjective and objective evaluation of visual fatigue caused by continuous and discontinuous use of HMDs [J]. J Soc Inf Disp, 2019, 27(2): 108-119. [47] Lin Pohung, Chen Hungjen, Yeh Poting. The effects of age group, interface type, and key area of mobile phones on game playing performance, usability, and visual fatigue: A case study of a rhythm game [J]. Human Fact Ergon Manuf Serv Ind, 2019, 29(3): 275-282. [48] Chiu Hsiaoping, Liu Chienhsiou. The effects of three blue light filter conditions for smartphones on visual fatigue and visual performance [J]. Human Fact Ergon Manuf Serv Ind, 2020, 30(1): 83-90. [49] Mangione CM, Lee PP, Pitts J, et al. Psychometric properties of the National Eye Institute visual function questionnaire (NEI-VFQ) [J]. Arch Ophthalm, 1998, 116(11): 1496-1504. [50] Borsting E, Rouse MW, De PNL. Prospective comparison of convergence insufficiency and normal binocular children on CIRS symptom surveys. Convergence Insufficiency and Reading Study (CIRS) group [J]. Optom Vis Sci, 1999, 76(4): 221-228. [51] Rajabi-Vardanjani H, Habibi E, Pourabdian S, et al. Designing and validation a visual fatigue questionnaire for video display terminals operators [J]. Int J Prevent Med, 2014, 5(7): 841. [52] Li HCO. Human factor research on the measurement of subjective three dimensional fatigue [J]. J Broadcast Eng, 2010, 15(5): 607-616. [53] Bang JW, Heo H, Choi JS, et al. Assessment of eye fatigue caused by 3D displays based on multimodal measurements [J]. Sensors, 2014, 14(9): 16467-16485. [54] Parisay M, Poullis C, Kersten-Oertel M. FELiX: fixation-based eye fatigue load index a multi-factor measure for gaze-based interactions[C] //13th International Conference on Human System Interaction (HSI). Tokyo: IEEE, 2020: 74-81. [55] Feng Yong, Chen Fei. Investigation of weighted scales for measuring visual fatigue in screen tasks [C] //43th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Virtual: IEEE, 2021 [In press]. [56] Shen IH, Shieh KK, Chao CY, et al. Lighting, font style, and polarity on visual performance and visual fatigue with electronic paper displays [J]. Displays, 2009, 30(2): 53-58. [57] Lee Dersong, Ko Yahsien, Shen Ihsuan, et al. Effect of light source, ambient illumination, character size and interline spacing on visual performance and visual fatigue with electronic paper displays [J]. Displays, 2011, 32(1): 1-7. [58] Sheedy J, Bergstrom N. Performance and comfort on near-eye computer displays [J]. Optom Vis Sci, 2002, 79(5): 306-312. [59] Lambooij M, Fortuin M, Heynderickx I, et al. Visual discomfort and visual fatigue of stereoscopic displays: A review [J]. J Imaging Sci Technol, 2009, 53(3): 30201-1-30201-14. [60] Lee HJ, Kim SJ. Factors associated with visual fatigue from curved monitor use: a prospective study of healthy subjects [J]. PloS one, 2016, 11(10): e0164022. [61] Rosenfield M. Computer vision syndrome: A review of ocular causes and potential treatments [J]. Ophthal Physiol Opt, 2011, 31(5): 502-515. [62] Logaraj M, Madhupriya V, Hegde S K. Computer vision syndrome and associated factors among medical and engineering students in Chennai [J]. Ann Med Health Sci Res, 2014, 4(2): 179-185. [63] Gowrisankaran S, Sheedy JE. Computer vision syndrome: A review [J]. Work, 2015, 52(2): 303-314. [64] 国家食药监局.国家食药监局关于印发抗氧化功能评价方法等9个保健功能评价方法的通知(国食药监保化[2012]107号)[EB/OL]. http://www.cfda.com.cn/NewsDetail.aspx?id=53366,2012-05-07/2020-08-21 [65] Schiffman RM, Christianson MD, Jacobsen G, et al. Reliability and validity of the ocular surface disease index [J]. Arch Ophthalm, 2000, 118(5): 615-621. [66] Mangione CM, Lee PP, Gutierrez PR, et al. Development of the 25-list-item national eye institute visual function questionnaire [J]. Arch Ophthalm, 2001, 119(7): 1050-1058. [67] Kozulin P, Ames SL, McBrien NA. Effects of a head-mounted display on the oculomotor system of children [J]. Optom Vis Sci, 2009, 86(7): 845-856. [68] Solimini AG, Mannocci A, Di Thiene D, et al. A survey of visually induced symptoms and associated factors in spectators of three dimensional stereoscopic movies [J]. BMC Public Health, 2012, 12(1): 779. [69] Park M, Kim SR. Changes in the subjective symptoms and accommodative function after near work in a virtual moving environment [J]. J Korean Ophthalmic Opt Soc, 2019, 24(3): 267-277. [70] Borsting EJ, Rouse MW, Mitchell GL, et al. Validity and reliability of the revised convergence insufficiency symptom survey in children aged 9 to 18 years [J]. Optom Vis Sci, 2003, 80(12): 832-838. [71] Sonne M, Villalta DL, Andrews DM. Development and evaluation of an office ergonomic risk checklist: ROSA-Rapid office strain assessment [J]. Appl Ergon, 2012, 43(1): 98-108. [72] Zetterberg C, Heiden M, Lindberg P, et al. Reliability of a new risk assessment method for visual ergonomics [J]. Int J Ind Ergon, 2019, 72: 71-79. [73] Hart SG, Staveland LE. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research [J]. Adv Psychol, 1988, 52: 139-183. [74] Akerstedt T, Gillberg M. Subjective and objective sleepiness in the active individual [J]. Int J Neurosci, 52, 29-37 [75] Chao Chinjung, Yau Yijan, Lin Chihhsuan, et al. Effects of display technologies on operation performances and visual fatigue [J]. Displays, 2019, 57(Apr): 34-46. [76] Marandi RZ, Madeleine P, Omland , et al. Eye movement characteristics reflected fatigue development in both young and elderly individuals [J]. Sci Rep, 2018, 8(1): 1-10. [77] Chen Chunxiao, Wang Jing, Li Kun, et al. Assessment visual fatigue of watching 3DTV using EEG power spectral parameters [J]. Displays, 2014, 35(5): 266-272. [78] Kim DJ, Lim CY, Gu N, et al. Visual fatigue induced by viewing a tablet computer with a high-resolution display [J]. Korean J Ophthalm, 2017, 31(5): 388-393. [79] Kuze J, Ukai K. Subjective evaluation of visual fatigue caused by motion images [J]. Displays, 2008, 29(2): 159-166. [80] Dzhodzhua V, Serranheira F, Leite ES, et al. Visual demands and visual fatigue among ophthalmologists [J]. Revista Brasileira de Medicina do Trabalho, 2017, 15(3): 209-216. [81] Billones RKC, Bedruz R AR, Arcega ML, et al. Digital eye strain and fatigue recognition using electrooculogram signals and ultrasonic distance measurements [C] // IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM). Baguio: IEEE, 2018: 1-6. [82] Song Yaguang, Wang Danli, Yue Kang, et al. DeepFatigueNet: A Model for Automatic Visual Fatigue Assessment Based on Raw Single-Channel EEG [C] //SID Symposium Digest of Technical Papers. 2019, 50(1): 965-968. [83] Lin Chiuhsiang, Cheng Laiyu Yang Chihwei. An investigation of the influence of age on eye fatigue and hand operation performance in a virtual environment [J]. Vis Comput, 2020:1-13. [84] Bhargava R, Chandra M, Bansal U, et al. A randomized controlled trial of omega 3 fatty acids in rosacea patients with dry eye symptoms [J]. Curr Eye Res, 2016, 41(10): 1274-1280. [85] Aznar-Casanova JA, Romeo A, Gómez AT, et al. Visual fatigue while watching 3D stimuli from different positions [J]. J Optom, 2017, 10(3): 149-160. [86] Leccese F, Salvadori G, Montagnani C, et al. Lighting assessment of ergonomic workstation for radio diagnostic reporting [J]. Int J Ind Ergon, 2017, 57: 42-54. [87] Wu Hsainchieh, Chiu Minchi, Peng Chiawei. Visual fatigue occurrence time when using hand-held intelligent devices [J]. J Ambient Intell Humaniz Comput, 2016, 7(6): 829-835. [88] Iskander J, Hossny M, Nahavandi S. A review on ocular biomechanic models for assessing visual fatigue in virtual reality [J]. IEEE Access, 2018, 6: 19345-19361. [89] 南方科技大学.一种视疲劳测量方法及其系统、存储介质、电子设备 [P] 中国专利: 201910978006.9[P].2020-02-21.