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論文名稱(外文):Building the Control Model of an Intelligent Luminaire by Ergonomic Evaluations
指導教授(外文):Yi-Chun Chen
外文關鍵詞:Intelligent lightingbrightnessglarevisual fatiguevisual comforttask performance
  • 被引用被引用:2
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With the rapid development of LED lighting technology, how to effectively manage the lighting systems has become an important topic. Intelligent lighting can be a combination of management and monitoring features that adjusts the output of luminaires spatially or temporally, in order to provide lighting environments with energy efficiency and users’ well-being.
This study focuses on the lighting of a work environment with a computer monitor under an intelligent desk lamp. The lamp has the capability to control the central and outer luminous parts independently. Since the monitor also shines light to the user, we assume dimming the central luminous part would provide better illumination. By adjusting the correlated color temperature (CCT) and central illuminance, psycho- physical experiments are carried out to explore the impact of these two factors on visual comfort, visual fatigue and task performance. Luminaire control models are then established based on the experimental results.
The statistical analyses of the experimental data show that both the CCT and illuminance are not significant factors for the typing speed, typo-finding accuracy and CFF difference, and there is no interaction between the two independent variables. In the subjective assessments, only the brightness and glare perceptions are significantly influenced by the CCT and illuminance, and the other aspects evaluated in the questionnaire are not. The results show that changing the illuminance and CCT will affect the brightness perceptions in all the considered areas, including the central, left, and front reading areas.
To predict the brightness perception of the desk lamp under other operating conditions, the experimental data are used to model the brightness ratings as functions of CCT and illuminance. The R2 measures of goodness of fit are 0.9436, 0.9521 and 0.9476 for the central, left and front areas, respectively. All three R2 values are above 0.7, indicating that the models can well predict the brightness ratings. A weighted control model for the intelligent luminaire is then constructed by using the fitted models in all three areas. The region where the brightness rating is within 5 points plus or minus one standard error of the model is defined as the operating range for proper brightness. To account for user variations, the centroid of this region is our suggested operating point.

摘要 i
Abstract ii
誌謝 iv
目錄 v
圖目錄 viii
表目錄 xii
第一章 緒論 1
1-1 研究背景與動機 1
1-2 研究目的 6
1-3 論文架構 7
第二章 文獻探討 9
2-1 視覺評估研究 9
2-1-1 視覺疲勞評估 9
2-1-2 照明眩光評估 12
2-1-3 工作績效 16
2-2 心理學實驗方法 18
第三章 研究方法與步驟 21
3-1 實驗設備 21
3-1-1智慧照明燈具 21
3-1-2 T5日光燈管 22
3-1-3手持式照度計 23
3-1-4視力檢查儀 24
3-1-5閃光融合儀 24
3-2 實驗環境配置 26
3-3 實驗設計 29
3-4 實驗流程 30
3-5 受試者招募條件 31
3-6 資料分析方法 33
第四章 結果與討論 37
4-1 受試者基本資料 37
4-2 實驗結果與討論 37
4-3 實驗結果之應用 49
第五章 結論與未來展望 63
參考文獻 65
中英文名詞對照表 68
附錄一 實驗問卷內容 70
附錄二 打字作業範例 72
附錄三 台大IRB審核通過證明書 73

[1] http://www.nobelprize.org/nobel_prizes/physics/laureates/2014/,accessed on 2016/01/21。
[2] http://www.ledinside.com.tw/research/20151130-31849.html,accessed on 2016/01/21。
[3] 陳怡君、張智宏,「LED光生物安全計算與相應之視覺評估」,台達電子與中央大學科技研究計畫結案報告,2013。
[4] 蘇慧貞,「室內環境品質及生物性危害與防治」,2007病態建築診斷機制教育宣導講習會,台北,2007年11月。
[5] https://en.wikipedia.org/wiki/Light-emitting_diode,accessed on 2016/01/21。
[6] http://www.researchandmarkets.com/,accessed on 2016/01/21。
[7] M. Brown, AdReaction Marketing in a multiscreen world Global report, 2014, source:https://www.millwardbrown.com/adreaction/2014/report/Millward-Brown_AdReaction-2014_Global.pdf,accessed on 2016/01/21。
[8] E. D. Megaw, “The definition and measurement of visual fatigue,” in Evaluation of Human Work, J. R. Wilson and E. N. Corlett eds., pp. 840-863, 1995.
[9] C. F. Chi and F. T. Lin, “A comparison of seven visual fatigue assessment techniques in three data-acquisition VDT tasks,” Human Factors 40(4): 577-590, 1998.
[10] S. Taptagaporn and S. Saito, “How display polarity and lighting conditions affect the pupil size of VDT operators,” Ergonomics 33(2): 201-208, 1990.
[11] S. Ishikawa, “Examination of the near triad in VDU operators,” Ergonomics 33(6): 787-798, 1990.
[12] S. Saito, S. Taptagaporn and G. Salvendy, “Visual comfort in using different VDT screens,” International Journal of Human-Computer Interaction 5(4): 313-323, 1993.
[13] J. B. De Boer, “Visual perception in road traffic and the field of vision of the motorist,” in Public Lighting, J. B. De Boer ed., Eindhoven, Netherlands, Philips Technical Library, pp.11-96, 1967.
[14] CIE 117-1995, Discomfort Glare in Interior Lighting, The International Commission on Illumination, 1995.
[15] J. R. Wilson, Evaluation of Human Work: a Practical Ergonomics Methodology, Taylor &; Francis Press., Michigan, 1990.
[16] 許勝雄、吳水丕、彭游,人因工程學,揚智文化,台北,1991。
[17] 林清山,心理與教育統計學,東華書局,台北,312-313頁,1992。
[18] 洪蘭、曾志朗,心理學實驗研究法,遠流出版公司,台北,86-113頁,1989。
[19] J. J. Shaughnessy, E. B. Zechmeister and J. S. Zechmeister, Research Methods in Psychology, 8th ed., McGraw-Hill, New York, pp. 245-259, 2008.
[20] ISO 8995-1:2002 (CIE S 008/E:2001), Lighting of Work Places Part 1: Indoor, The International Commission on Illumination, 2002.
[21] 經濟部標準檢驗局,“CNS國家照度標準”, http://www.cnsonline.com.tw/,accessed on 2016/01/21。
[22] S. W. Greenhouse and S. Geisser, “On methods in the analysis of profile data,” Psychometrika 24(2): 95-112, 1959.
[23] A. J. Hayter, “The maximum familywise error rate of Fisher's least significant difference test,” Journal of the American Statistical Association 81(396): 1000-1004, 1986.
[24] 陳怡君,「白光LED之視覺生理效應評估」,台達電子與中央大學科技研究計畫結案報告,2010。

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