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研究生:林峻葆
研究生(外文):Lin, Chun-Pao
論文名稱:比較眼控介面與標準鍵盤滑鼠使用者之視覺疲勞出現時間
論文名稱(外文):Visual Fatigue Occurrence Time Between Eye Controlled Interface and Standard Keyboard Mouse
指導教授:吳欣潔吳欣潔引用關係
指導教授(外文):Wu, Hsin-Chien
口試委員:邱敏綺宋鵬程
口試委員(外文):Chiu, Min-ChiSung, Peng-Cheng
口試日期:2020-04-17
學位類別:碩士
校院名稱:朝陽科技大學
系所名稱:工業工程與管理系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:67
中文關鍵詞:眼控介面疲勞出現時間視覺疲勞人機介面
外文關鍵詞:eye controlled mousefatigue occurrence timevisual fatigueman-machine interface
相關次數:
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本研究探討使用眼控介面的視覺疲勞出現時間。我們分別使用市面上的兩種眼控介面設備(A廠牌即遊戲版眼控滑鼠、B廠牌即專業版眼控滑鼠),以及標準鍵盤與滑鼠(SKM)操作來進行比較。實驗測試工作包含打字、畫圖、購物三種電腦作業。本研究共招募30位年輕的自願者進行實驗。受測者年齡20歲以上,其中16名為男性,14名為女性。每位受測者進行9次試驗,試驗順序均採隨機方式進行。每次試驗約為60分鐘,其間固定每15分鐘的電腦作業即進行8分鐘的主觀疲勞調查和客觀疲勞時間的評估;如此重覆15分鐘電腦作業和8分鐘的評估,直到獲得受測者最終的眼睛疲勞出現時間為止。
實驗結果得知:控制介面設備對於主觀疲勞出現時間(P < 0.01)及最終疲勞出現時間(P < 0.05)有顯著的影響,對客觀疲勞出現時間則無顯著影響。而電腦作業類型對三種疲勞出現時間皆顯示無顯著影響。結論是受測者在試驗後,在使用眼控設備所產生的疲勞出現時間(30min-35min)與SKM所產生的疲勞出現時間(40min)相比,大約快了10min產生視覺疲勞。證明眼控設備的使用,造成的疲勞相對於SKM是較快的。所以我們覺得,在設備的硬體或軟體上,未來還有很大的進步空間,如果能延緩出現疲勞時間,對於使用者會有很大的幫助。

關鍵詞:眼控介面、疲勞出現時間、視覺疲勞、人機介面
This study investigated the time to visual fatigue using the eye controlled interface. We used two types of eye-controlled interface devices (Brand A is the game version of the eye controlled mouse, Brand B is the professional version of the eye controlled mouse), and the standard keyboard and mouse (SKM)in the experiment. The experimental tasks included three computer tasks: typing, drawing, and shopping. A total of 30 young volunteers were recruited for the experiment. The subjects were over 20 years old, including 16 males and 14 females. Each subject conducted 9 trials, and the test sequence was performed randomly. Each trial took about 60 minutes. During this period, an 8-minute subjective fatigue survey and objective fatigue time assessment were performed after every 15-minute computer operation. Repeat 15 minutes of computer operation and 8 minutes of visual fatigue evaluation until the subject reaches the final eye fatigue.
The experimental results showed that the control interface equipment had a significant effect on the subjective fatigue time (P <0.01) and the final fatigue time (P <0.05), but had no significant effect on the objective fatigue time. The type of computer operation showed no significant effect on all three fatigue times. The conclusion was that the fatigue occurrence time (30min-35min) produced by using the eye controlled device was about 10min faster than the fatigue occurrence time (40min) produced by standard keyboard and mouse (SKM). It proved that the fatigue caused by the use of eye controlled mouse was relatively easy compared to SKM. Therefore, we think that there is still much room for improvement in the hardware or software of the eye-controlled mouse. If it can delay the time to the occurrence of eye fatigue, it will be of great help to users.

Keywords: eye controlled mouse, fatigue occurrence time, visual fatigue, man-machine interface

目錄
摘要..............................................................I
Abstract.........................................................II
誌謝..............................................................IV
目錄..............................................................V
表目錄............................................................IX
圖目錄............................................................XI
第一章 緒論........................................................1
1.1研究背景及動機..................................................1
1.2研究動機與目的..................................................4
1.3研究架構.......................................................5
第二章 文獻探討...................................................6
2.1眼控介面技術...................................................6
2.2影響視覺疲勞的因子..............................................8
2.2.1顯示介面因素.................................................8
2.2.2顯示曲率....................................................10
2.2.3環境照明....................................................11
2.2.4易讀性......................................................11
2.3電腦作業型態造成的視覺疲勞......................................12
2.4視覺疲勞的評估方法.............................................13
2.4.1瞳孔.......................................................13
2.4.2睫狀體調節力................................................14
2.4.3閃光融合閾值(Critical Flicker Fusion Frequency, CFF).......16
2.4.4視敏度(visual acuity).....................................16
2.4.5視覺疲勞主觀評量.............................................17
第三章 研究方法...................................................20
3.1研究對象......................................................20
3.2實驗設備......................................................21
3.2.1 A廠牌遊戲版眼控滑鼠.........................................21
3.2.2 B廠牌專業版眼控滑鼠.........................................22
3.2.3睫狀體調節微動分析儀(Righton Speedy-K MF-1, Japan)..........23
3.3實驗環境......................................................25
3.4實驗因子......................................................26
3.4.1自變項......................................................26
3.4.2依變項......................................................26
3.5實驗設計......................................................27
3.6作業類型......................................................28
3.7實驗程序......................................................30
3.8實驗處理與分析.................................................31
第四章 實驗結果...................................................33
4.1三種疲勞時間之敘述統計..........................................33
4.2設備與實驗項目之多變量分析.......................................35
4.3 Post hoc檢定、Duncan檢定分析、LSD分析..........................35
第五章 討論.......................................................49
5.1眼控設備的影響..................................................49
5.2作業類型的影響..................................................49
5.3問卷調查與受測者回饋.............................................51
5.4與其他研究結果的比較.............................................52
5.5研究的意義.....................................................55
5.6今後的研究方向..................................................56
第六章 結論........................................................57
參考文獻...........................................................58
中文..............................................................58
英文..............................................................60

表目錄
表1 視覺疲勞評估優缺點比較(Chi and Lin, 1998)......................19
表2 A廠牌遊戲版眼控滑鼠規格..........................................22
表3 B廠牌專業版眼控滑鼠規格..........................................23
表4 主觀疲勞時間(min)敘述統計........................................33
表5 客觀疲勞時間(min)敘述統計........................................34
表6 最終疲勞時間(min)敘述統計........................................34
表7 實驗結果之MANOVA表..............................................35
表8 設備主觀疲勞時間的LSD分析........................................36
表9 設備客觀疲勞時間的LSD分析........................................37
表10 設備主觀Duncana, b, c檢定表....................................38
表11 設備客觀Duncana, b, c檢定表....................................39
表12 實驗項目主觀LSD比較表..........................................40
表13 實驗項目客觀LSD比較表..........................................40
表14 實驗項目主觀Duncana, b, c檢定表................................41
表15 實驗項目客觀Duncana, b, c檢定表................................42
表16 主觀分數(分)LSD的多重比較表.....................................43
表17 HFC值LSD的多重比較表...........................................43
表18 本研究和相關文獻的建議..........................................54

圖目錄
圖1 Tobii研發搭配電腦的眼控介面(資料來源:Tobii, 2013)...............1
圖2 研究架構........................................................5
圖3 森思眼動公司的Eyeplayer眼控滑鼠介面(森思眼動,2017)...............6
圖4 Tobii公司研發的Tobii PCEye Go眼控選單畫面(Tobii, 2013)..........7
圖5 A廠牌遊戲版眼控滑鼠..............................................22
圖6 B廠牌專業版眼控滑鼠..............................................23
圖7 睫狀體調節微動分析儀(Righton Speedy-K MF-1, Japan).............24
圖8 Speedy-K Ver. MF-1軟體介面......................................25
圖9 實驗場景........................................................26
圖10 進入購物商城選購商品的畫面舉例...................................28
圖11 進入 Facebook 撰寫貼文的畫面舉例................................29
圖12預先指定之圖案舉例...............................................29
圖13在小畫家軟體裡做模仿繪圖..........................................29
圖14 實驗流程圖.....................................................30
圖15 眼睛很累分數與打字隨時間的變化...................................44
圖16 眼睛很累分數與繪圖隨時間的變化...................................45
圖17 眼睛很累分數與購物隨時間的變化...................................46
圖18 HFC值與打字隨時間的變化.........................................47
圖19 HFC值與繪圖隨時間的變化.........................................47
圖20 HFC值與購物隨時間的變化.........................................48

中文
3S Market,「眼球追蹤:VR頭顯的下一個重要突破」,(2017)。
https://3smarket-info.blogspot.com/2017/03/vr.html
中國印刷港,「造成電腦螢幕抖動、閃爍的原因及處理方法」,(2014)。
https://read01.com/zh-tw/NJoa40.html#.XedU8ugzbIU
太平洋電腦網,「顯示器講堂:告訴你什麼叫曲率」,(2016)。
https://kknews.cc/zh-tw/digital/lzveq2.html
李詩,「你不可不知的眼球追蹤技術應用」,(2017)。
https://buzzorange.com/techorange/2017/08/01/they-all-buy-eye-tracking-company/
李宜芸,「電腦一點小改變,眼睛大舒服」,康健雜誌第181期,(2013)。
https://www.commonhealth.com.tw/article/article.action?nid=68031
李正隆,「電腦工作站之健康危害及預防對策探討」。勞工安全衛生簡訊,
19,pp. 1-5,(1996)。
李正隆、葉文裕,「電腦作業人員健康危害預防手冊」,(1999)。
http://irene.cgu.edu.tw/ireneweb/Computer_health.htm
宋鵬程、楊職賓、吳欣潔,「身體姿勢對打字作業績效與主觀肌肉骨骼不適
之影響」,人因工程學刊17(2),p. 93-104,(2015)。
吳欣潔、林志禹、陳協慶、王家濠,「三種電腦作業的人因風險因子與肌
肉骨骼不適症狀的相關性」,人因工程學刊,9卷1期,p. 1-10,(2007)。
邱高生,「量化分析為何樣本數要大於等於30」,(2010)。
http://mypaper.pchome.com.tw/jacobchiu999/post/1321044098/
陳翊翔,「顯示器色彩之視覺疲勞研究」,碩士論文,國立中央大學光電
科學研究所,(2007)。
陳瑩山,「電腦螢幕亮度、字級這樣調,眼睛負擔最小」,(2017)。
https://health.udn.com/health/story/5970/2884785
陳右怡,「全球領導廠商投入眼控產品影用趨勢」,(2014)。
http://ieknet.iek.org.tw/iekrpt/rpt_more.aspx?actiontype=rpt&rpt_idno=90091974
陳右怡,「品牌廠大舉投入研發-眼控技術躍居行動裝置新星」,新通訊,
157期《趨勢眺望》,(2014)。
https://www.2cm.com.tw/2cm/zh-tw/market/55D7BA540C734B0995BDE589321ED437
莊侑哲、林方如、張正宜、孫倩怡,「閃光融合閾值測定方法之比較與評估」,
華醫學報,17,pp. 23-32,(2002)。
森思眼動,「Eyeplayer 眼控滑鼠使用情境」,YouTube, video,(2017)。
張志凌、李開偉,「面罩介面對視覺疲勞與運動能力的影響研究」,行政院
國家科學委員會專題研究計畫成果報告,(2007)。
http://www.etop.org.tw/index.php?c=adm11252&m=getReportFile&d=adm&i=118153
博陽科技 BMT,PCEye Mini 專業版眼控滑鼠。
https://www.boyang-medical.com.tw/p3-product.php?Class1_PKey=1d1aNrvG0IgPnGv-NOPUzdpzz3nBEqpOgJdJgDGd&Class2_PKey=3ccfD8r5NhjhLsH5KSSzC44lMBgr0om7FCTuBFNIsw
彭家偉,「面板技術與刺激型態對視覺疲勞出現時間之影響」,碩士論文,
朝陽科技大學,(2011)。
http://ir.lib.cyut.edu.tw:8080/bitstream/310901800/24039/1/099CYUT5031045-001.
雷鋒網,「Tobii 宣布將與微軟合作」,(2017)。
https://www.leiphone.com/news/201708/tBkiypUoyX3Iu75X.html
勞動部,「精密作業勞工視機能保護設施標準」,(2014)。
https://law.moj.gov.tw/LawClass/LawAll.aspx?pcode=N0060012
曉龍,「顯示器的亮度和對比度多少合適?顯示器亮度對比度調多少眼睛
舒服」,(2017)。
https://kknews.cc/digital/5xvb83l.html
謝維毓,「VDT目標/背景顏色組合與亮度對比對閱讀理解力、視覺疲勞與
腦波的影響」,碩士論文,國立台灣科技大學,(2009)。

英文
4GAMERS, “Tobii Eye Tracker 4C,” (2016).
https://www.4gamers.com.tw/news/detail/30737/tobii-eye-tracker-4c-announcement

Altmann, G. T. M., & Kamide, Y., “The real-time mediation of visual attention
by language and world knowledge,” Linking anticipatory (and other) eye movements to linguistic processing. Journal of Memory and Language, 57(4), 502–518, (2007).

Antonaa, B., Barrioa, A. R., Gascób, A., Pinarb, A., González-Pérezb, M.,
Puella, M.C., “Symptoms associated with reading from a smartphone in conditions of light and dark,” Applied Ergonomics ,68,12-17, (2018).

Al-Harkan, I. M., Ramadan, M. Z., “Effects of pixel shape and color, and matrix
pixel density of arabic digital typeface on characters' legibility,” Int. J. Industrial Ergon., pp. 652-664, (2005).

Bullimore, M. A., Howarth, P. A., and Fulton, E., “ Assessment of visual
performance,” Evaluation of human work: A practical ergonomics methodology, pp. 804-839, (1995).

Bhanderi, D. J., Choudhary, S., Doshi, V. G., “A community-based study of
asthenopia in computer operators,” Indian J Ophthalmol, 56:51-55, (2008).

Bernard, M. L., et al., “Comparing the effects of text size and format on the
readability of computer-displayed times new roman and arial text,” Int. J. Hum. Comput. Stud., pp. 823-835, (2003).

Chi, C. F., and Lin, F. T., “A comparison of seven visual fatigue assessment
techniques in three data-acquisition VDT tasks,” Human Factors, vol. 40, no. 4, pp. 577-590, (1998).

Chen, M. T., Lin, C. C., “Comparison of TFT-LCD and CRT on visual
recognition and subjective preference,” International Journal of Industrial Ergonomics, pp. 167-174, (2004).

Chao, C. J., Yau, Y. J., Lin, C. H., Feng, W. Y., “Effects of display technologies
on operation performances and visual fatigue,” Displays, Volume 57, Pages 34-46, (2019).

Collins, C. C., O’Meara, D., and Scott, A. B., “Muscle tension during
unrestrained human eye movements,” Journal of Physiology, 240: 351-369, (1975).

Campbell, F. W., Robson, J. G., and Westheimer, G., “Fluctuations of
accommodation under steady viewing conditions,” J. Physiol. 145, 579-594. (1959).

Chitty, N., “User Fatigue and Eye Controlled Technology,” (2013).

Dumais, S., & Czerwinski, M., “Building bridges from theory to practice,”
Paper presented at HCI International 2001, 9th Conference on Human-Computer Interaction, New Orleans, LA, USA, (2001).

Dainoff, M. J., Happ, A., and Crane, P., “Visual fatigue and occupational stress
in VDU operators,” Human Factors, 23, 421-438, (1981).

Findlay, J., & Gilchrist, I., “Active vision: The psychology of looing and
seeing,” New York: Oxford University Press, (2003).

Gonzalez-Perez, M., Susi, R., Antona, B., Barrio, A., Gonzalez, E.,
“The Computer-Vision Symptom Scale (CVSS17): development and initial validation,” Investigative Ophthalmol. Vis. Sci., 55, 4504–4511, (2014).
http://www.cvss17.com/

Guiard, Y., & Beaudouin-Lafon, M., “Preface: Fitts’ law 50 years later:
Applications and contributions from human-computer interaction,” International Journal of Human-Computer Studies, 61(6), 750, (2004).

Hsu, B. W., Wang, M. J. J., “Evaluating the effectiveness of using
electroencephalogram power indices to measure visual fatigue,” Percept. Mot. Skills, pp. 235-252, (2013).

Hayes, J., Sheedy, J., Stelmack, J., Heaney, C., “Computer use, symptoms, and
quality of life,” Optom. Vis. Sci., 84, pp. 739-745, (2007).
https://insights.ovid.com/crossref?an=00006324-200708000-00013

Hornof, A., & Halverson, T., “Cognitive strategies and eye movements for
searching hierarchical computer displays,” Paper presented at the SIGCHI conference on Human factors in computing systems, Ft. Lauderdale, Florida, USA, (2003).

Horie, Y., “A study of optimum term of working hours with rest intervals for
VDT workers.” Japanese journal of Ergonomics, 23(6), pp. 373-383, (1987).

Hosokawa, T., Mikami, K., and Saito, K., “Basic study of the portable fatigue
meter: effects of illumination, distance from eyes and age,” Ergonomics, 40(9), pp. 887-894, (1997).

Hyönä, J., Lorch, R. F., & Rinck, M., “Eye movement measures to study global
text processing,” In J. Hyönä, R. Radach, & H. Deubel (Eds.). The mind's eye: Cognitive and applied aspecets of eye movement research (pp. 313-334). Oxford: Elsevier, (2003).

Haider, M., Kundi, M., and M., “WeissenbockWorker srtain related to VDUs
With differently colored characters,” Ergonomic Aspects of Visual Display Terminals: Taylor & Francis, London, pp. 53-64, (1982).

Hall, R. H., Hanna, P., “The impact of web page text-background colour
combinations on readability, retention,” aesthetics and behavioural intention, Behav. Inf. Technol., pp. 183-195, (2004).

Häkkinen, J., Pölönen, M., Salmimaa, M., Hautanen, J., “Reading experience
with curved hand-held displays,”J. Soc. Inf. Disp., p. 1099, (2008).

ISO 9241-303, “Ergonomics of Human-system Interaction – Part 303:
Requirements for Electronic Visual Displays,” (2011).

Jaschinski, W., “Fixation disparity at different viewing distances and the
preferred viewing distance in a laboratory near-vision task,” Ophthalmic and Physiological Optics 18: 30-39, (1998).

Jaschinski-Kruza W., “Eyestrain in VDU users: viewing distance and
resting position of ocular muscles,” Hum Factors 33:69-83, (1991).

Jainta, S., and Jaschinski, W., “Fixation display: Binocular vergence
identification for a visual display at different positions relative to the eyes,” Human Factors, 44: 443-450, (2002).

Kamieńska-Zyła, M., “Ergonomics evaluation of the work of VDT operators in
Poland,” Applied Ergonomics, 24(6), 432-433, (1993).

Koo, B. Y., Jang, M. H., Kim, Y. C., Mah, K. C., “Changes in the subjective
fatigue and pupil diameters induced by watching LED TVs,” Optik, Volume 164, July 2018, Pages 701-710, (2018).
https://www.sciencedirect.com/science/article/pii/S0030402618304157

Kim, Y. J., Lee, E. C., “EEG based comparative measurement of visual fatigue
caused by 2D and 3D displays,” HCI International Posters’ Extended Abstracts, Springer Berlin Heidelberg, pp. 289-292, (2011).

Kuze, J., Ukai, K., “Subjective evaluation of visual fatigue caused by motion
Images,” Displays, pp. 159-166, (2008).

Kong, Y. K., et al., “The effects of age, viewing distance, display type, font
type, colour contrast and number of syllables on the legibility of Korean characters,” Ergonomics, pp. 453-465, (2011).

Lin, M., “Usability test,” (2018).
https://medium.com/@g801109g51/%E4%BD%BF%E7%94%A8%E6%80%A7%E6%B8%AC%E8%A9%A6-usability-test-9186a131e146

Lin, P. H., Ku, W. C., “Visual fatigue evaluation of a glasses-free 3D handheld
console,” Proceedings 19th Triennial Congress of the IEA, 9, p. 14, (2015).

Lombart, “Righton Speedy K Autorefractor/Keratometer,” (2019).
https://lombartinstrument.com/store/righton-speedy-k-autorefractor-keratometer-pre-owned

Lai, M. L., Tsai, M. J., Yang, F. Y., Hsu, C. Y., Liu, T. C., Lee, S. W. Y., et al.
“A review of using eye-tracking technology in exploring learning from 2000 to 2012.” Educational Research Review, 10(12), 90-115, (2013).

Lindner, M. A., Eitel, A., Thoma, G. B., Dalehefte, I. M., Ihme, J. M., &
Köller, O., “Tracking the decision-making process in multiple-choice assessment,” Evidence from eye movements, Applied Cognitive Psychology, 28(5), 738-752, (2014).

Lee, D. S., Ko, Y. H., Shen, I. H., Chao, C. Y., “Effect of light source, ambient
illumination, character size and interline spacing on visual performance and visual fatigue with electronic paper displays,” Displays, Volume 32, Issue 1, Pages 1-7, (2011).

Lin, P. H., et al., “Effects of anti-glare surface treatment, ambient illumination
and bending curvature on legibility and visual fatigue of electronic papers,” Displays, pp. 25-32, (2008).

Lin, Y. T., et al., “Investigation of legibility and visual fatigue for simulated
flexible electronic paper under various surface treatments and ambient illumination conditions,” Appl. Ergon., pp. 922-928, (2009).

Lin, H., Wu, F. G., Cheng, Y. Y., “Legibility and visual fatigue affected by text
direction, screen size and character size on color LCD e-reader,” Displays, pp. 49-58, (2013).

Lee, S. J., Kim, J. W., “An experimental study on the impacts of luminance
contrast upon readability in VDT environments,” J. Ergon. Soc. Korea, pp. 21-33, (2007).

Lin, C. C., “Effects of contrast ratio and text color on visual performance with
TFT-LCD,” Int. J. Industrial Ergon., pp. 65-72, (2003).

Mocci, F., Serra, A., Corrias, G. A., “Psychological factors and visual fatigue
in working with video display terminals,” Occup Environ Med, 58:267-71, (2001).

MacKenzie, I. S., “Evaluating Eye Tracking Systems for Computer Input,” Gaze interaction and applications of eye tracking: Advances in assistive technologies, p. 205-225, (2012).

Na, N., Jeong, K. A., Suk, H., “Do curved displays make for a more Pleasant
Experience?,” p. 939419, (2015).

Oetjen, S., Ziefle, M., “A visual ergonomic evaluation of different screen types
and screen technologies with respect to discrimination performance,” Appl. Ergon., pp. 69-81, (2009).

Park, S., Choi, D., Yi, J., Lee, S., Lee, J. E., Choi, B., Lee, J., Kyung, G.,
“Effects of display curvature, display zone, and task duration on legibility and visual fatigue during visual search task,” Appl. Ergon., pp. 183-193, (2017).

Piepenbrock, C., et al., “Positive display polarity is advantageous for both
younger and older adults,” Ergonomics, pp. 1116-1124, (2013).

Smartbox, “Alea Technologies IntelliGaze, ” (2020).
https://thinksmartbox.com/product/alea-intelligaze/

Suzuki, S., Davis, M., and Kato, K., “Evaluation of Accommodative Function
by High Frequency Component of Accommodative Microfluctuation,” Japanese journal of visual science, vol. 22, no. 3, pp. 93-97, (2001).

Smita, A., Dishanter, G., Anshu, S., “Evaluation of the Factors which Contribute
to the Ocular Complaints in Computer Users,” JCDR, (2013).

Sanchez-Roman, F. R., Perez-Lucio, C., Juarez-Ruiz, C., Velez-Zamora, N. M.,
Jimenez-Villarruel M., “Risk factors for asthenopia among computer terminal operators,” Salud Publica Mex, 38:189-96, (1996).

Shieh, K. K., Lin, C. C., “Effects of screen type, ambient illuminance, and color
combination on VDT visual performance and subjective preference,” International Journal of Industrial Ergonomics, pp. 527-536, (2000).

Sengupta, K., Kumar, C., Staab, Steffen., “Usability Heuristics for
Eye-controlled User Interfaces,” COGAIN Symposium, (2017).

Saito, S., Taptagaporn, S., & Salvendy, G., “Visual comfort in using different
VDT screens,” International Journal of Human-Computer Interaction, no.5, 313-323, (1993).

Swordman, “Visual acuity,” (2009).
http://blog.udn.com/jnwu/3547671

Tyrrell, R. A., and Leibowitz, H. W., “The relation of vergence effort to reports
of visual fatigue following prolonged near work,” Human Factors, 32: 341-357, (1990).

Tobii, “A computer with eyes - see the future of computing with eye tracking,”
YouTube, video, (2013).

Wu, H. C., Lee, C. L., Lin, C. T., “Ergonomic evaluation of three popular
Chinese e-book displays for prolonged reading,” International Journal of Industrial Ergonomics, 37, 761-770, (2007).

Wu, H. C., Chiu, M. C., Peng, C. W., “Visual fatigue occurrence time when
using hand-held intelligent devices,” Journal of Ambient Intelligence and Humanized Computing, 7(6), 829-835, (2016).

Wickens, C. D., Gordon, S. E., Liu, Y., “An Introduction to Human Factors
Engineering,” (second ed.), Pearson Prentice Hall, (2004).

Yeh, Y. Y., Lee, D. C., Ko, Y. H., “Color combination and exposure time on
legibility and EEG response of icon presented on visual display terminal,” Displays, pp. 33-38, (2013).

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