| 研究生: |
蔡孟蒓 Tsai, Meng-Chun |
|---|---|
| 論文名稱: |
個人化照明之色溫及照度喜好對於使用者心理、生理及工作效率之影響 Personal Control of Lighting :Effect of Color Temperature and Illuminance on Physiology,Psychology and Productivity |
| 指導教授: |
蔡耀賢
Tsay, Yaw-Shyan |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 建築學系 Department of Architecture |
| 論文出版年: | 2020 |
| 畢業學年度: | 108 |
| 語文別: | 中文 |
| 論文頁數: | 76 |
| 中文關鍵詞: | 智慧照明 、系統工作效率 、可控光環境 、室內環境滿意度 |
| 外文關鍵詞: | Smart lighting, Controllable lighting, Productivity, Indoor environment satisfaction |
| 相關次數: | 點閱:120 下載:26 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
近年來,室內環境品質的重要性逐漸提升,所以建築物是否能提供一個良好的室內環境,便是一大課題。而對於「良好」的室內環境之定義,就會分成多個面向,包含節能、健康、智慧、人性化…等,這些都是致力於提供一個以人為本的建築使用思維,希望能從人的使用角度去創造更加友善的空間。再者,隨著近代環保減碳的意識高漲,影響人類生活習慣及需求的改變,對於設備的基本要求也已明確以節能、省電為基本訴求。於是我們該思考的是在節省能源成本的前提下,如何去提升其附加價值,發揮其最高效能,而非單純探討發電效率。英國CIBSE提出人事費是能源成本的100~200倍,換句話說,能源成本等同於0.5~1.0%的人事費。因此,在節能的前提下若能提高人的工作效率,相較於能源成本應用會有更好的回饋。本研究針對室內光環境探討其對於人的影響,包含生理影響、心理感知影響以及工作效率影響。
研究以實驗室方式進行,招募67人,其中男性34人,女性33人,年齡介於20至30歲之間,身體狀況良好且矯正後視力1.0至1.2之間,分別在6種不可控、兩種可控之照明情境下,評估受測者的主觀心理評價及客觀工作效率,且實驗當中持續記錄其生理數據。主觀心理評價以問卷的方式做評估,內容包含:光環境滿意度、光控制滿意度、自評工作表現、室內環境整體滿意度等。客觀工作效率採用電腦測驗及紙本數獨測驗,電腦測驗為數學二位數加減運算及圖像辨識測驗兩種,紙本數獨測驗提供38格基本題型。生理數據以簡易型腦波儀及心率數據做為判定受測者是否處於緊張或舒緩狀態之依據。
研究結果發現,不論初始值高低的設置,照度與色溫的最終調整值都在一定區間範圍內,受測者較喜好中間色溫,其調整平均值約為4200K,而照度調整平均值為500lux。在工作效率表現上,三種光色並無太大差異,但水平照度在500lux以上有顯著(P<0.001)較佳的表現。另一方面,若等價褪黑激素照度達150EML工作效率也優於未達150EML之光情境。甚至在足量150EML光情境下,高舒適度也會有較佳的工作表現。在心裡評價上,3000K低暖色溫、水平照度590lux的光情境給有最高的舒適度及放鬆度評價。不可控照明並無提高舒適度及自評工作效率,但在客觀工作效率卻優於可控照明。
With the increasing awareness of environmental protection and carbon reduction in modern times, the basic requirements for equipment have also been based on energy saving. We should think about how to increase the value of the lamps and maximize its benefits to bring users the best experience, rather than improving the efficiency of energy.This study investigated the impact on physiology, psychological perception and productivity for lighting environment.
The research was conducted in a laboratory, and their physiological data were continuously recorded during the experiment. The subject ’s(34 men and 33 women) impact on psychology is evaluated by questionnaires, the physiological data evaluated by electroencephalograph and heart rate, and the productivity tested by three kind of tests.
The experimental results found that regardless of the setting of the initial value, the subjects prefers the intermediate color temperature, the average value of the adjustment is 4200K, and the illuminance adjustment is 500lux. There is not difference on productivity between the three correlated colour temperature, but the illuminance at 500lux has a better performance. Warm color temperature and higher illuminance (3000K-590lux)makes subjects feel comfortable. Productivity on uncontrollable lighting is better than controllable lighting.
(一) 中文文獻
1.謝明燁(2015),照明因子對工作績效的影響--以四種照明情境為例
2.江哲銘(2007),高照度高色溫度照明對人體經絡反應之影響─以大專學生之實驗反應為例
3.張謙允(2009),室內照明之光與熱心理反應研究
4.林景鴻 (2011),應用眼球追蹤系統探討不同照明方式下VDT作業對工作效率影響之研究
5.李冠慧 (2016),以環境效率觀點探討照明型式與色溫度對工作者情緒與工作績效之影響-以20~28 歲年輕族群為例"
6.李冠慧 (2016),照明形式與色溫度對工作者的情緒與工作績效之影響-以直管型螢光燈為例
7.謝明燁(2010),不同照度與光色組合對閱讀時主觀評價之影響
8.賀大行(2009),混合照明環境下照度與色溫變化對心理反應之研究
9.台灣綠色生產力基金會 (2016),非生產性質行業能源查核年報。
10.邱冠生 (2011),不同色溫度下照明環境對視覺疲勞影響之研究
11.林惠玲、陳正倉 (2003),應用統計學,雙葉書廊有限公司。
12.陳佳君. (2016). 辦公室 TAL 照明策略. 成功大學建築學系學位論文, (2016 年), 1-84.
13.張智耀. (2017). 工作照明與環境照明之組合條件對工作者情緒與工作績效之影響. 中原大學建築研究所學位論文, 1-90.
(二)日文文獻
1.田辺新一(2017),快適性を評価する考え方とその指標(2)快適性を評価する新しい考え方,空気調和・衛生工学会,Vol.91,No.10,pp.37‐44
2.割田智裕, 伊香賀俊治, 張本和芳, 市原真希, 半谷英里子, 多和田友美, & 佐藤啓明. (2010). 4002 照度と色温度が知的生産性に与える影響に関する被験者実験 (環境工学). 日本建築学会関東支部研究報告集, (80), 5-8.
3.羽田 正沖、 西原 直枝、田辺 新一,2009,温熱環境と換気量が知的生産性に与える影響に関する被験者実験,日本建築学会環境系論文集,第74巻,第638号,507-515。
(三)英文文獻
1.Juslén, H., Wouters, M., & Tenner, A. (2007). The influence of controllable task-lighting on productivity: a field study in a factory. Applied Ergonomics, 38(1), 39-44.
2.Smolders, K. C., & de Kort, Y. A. (2017). Investigating daytime effects of correlated colour temperature on experiences, performance, and arousal. Journal of Environmental Psychology, 50, 80-93.
3.Lashina, T., van der Vleuten-Chraibi, S., Despenic, M., Shrubsole, P., Rosemann, A., & van Loenen, E. (2019). A comparison of lighting control strategies for open offices. Building and Environment, 149, 68-78.
4.de Korte, E. M., Spiekman, M., Hoes-van Oeffelen, L., van der Zande, B., Vissenberg, G., Huiskes, G., & Kuijt-Evers, L. F. (2015). Personal environmental control: Effects of pre-set conditions for heating and lighting on personal settings, task performance and comfort experience. Building and Environment, 86, 166-176.
5.de Bakker, C., Aarts, M., Kort, H., & Rosemann, A. (2018). The feasibility of highly granular lighting control in open-plan offices: Exploring the comfort and energy saving potential. Building and Environment, 142, 427-438.
6.Smolders, K. C., & de Kort, Y. A. (2014). Bright light and mental fatigue: Effects on alertness, vitality, performance and physiological arousal. Journal of environmental psychology, 39, 77-91.
7.Chu, K., & Wong, C. Y. (2014, September). Player's attention and meditation level of input devices on mobile gaming. In 2014 3rd International Conference on User Science and Engineering (i-USEr) (pp. 13-17). IEEE.
8.Perhakaran, G., Yusof, A. M., Rusli, M. E., Yusoff, M. Z. M., Mahalil, I., & Zainuddin, A. R. R. (2016). A study of meditation effectiveness for virtual reality based stress therapy using eeg measurement and questionnaire approaches. In Innovation in Medicine and Healthcare 2015 (pp. 365-373). Springer, Cham.
9.Ma, M. Y., & Wei, C. C. (2016). A comparative study of children's concentration performance on picture books: age, gender, and media forms. Interactive Learning Environments, 24(8), 1922-1937.
10.Huang, Y. M., Liu, M. C., Lai, C. H., & Liu, C. J. (2017). Using humorous images to lighten the learning experience through questioning in class. British Journal of Educational Technology, 48(3), 878-896.
11.Chang, A. M., Aeschbach, D., Duffy, J. F., & Czeisler, C. A. (2015). Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proceedings of the National Academy of Sciences, 112(4), 1232-1237.
12.Bellia, L., Pedace, A., & Barbato, G. (2013). Lighting in educational environments: An example of a complete analysis of the effects of daylight and electric light on occupants. Building and Environment, 68, 50-65.
13.Suk, J. Y. (2019). Luminance and vertical eye illuminance thresholds for occupants’ visual comfort in daylit office environments. Building and Environment, 148, 107-115.
14.Konis, K. (2018). Field evaluation of the circadian stimulus potential of daylit and non-daylit spaces in dementia care facilities. Building and Environment, 135, 112-123.
15.Konis, K. (2017). A novel circadian daylight metric for building design and evaluation. Building and Environment, 113, 22-38.
16.WELL Building Standard(2019)
17.Manav, B. (2007). An experimental study on the appraisal of the visual environment at offices in relation to colour temperature and illuminance. Building and environment, 42(2), 979-983.
18.Huang, R. H., Lee, L., Chiu, Y. A., & Sun, Y. (2015). Effects of correlated color temperature on focused and sustained attention under white LED desk lighting. Color Research & Application, 40(3), 281-286.
19.Chang, A. M., Aeschbach, D., Duffy, J. F., & Czeisler, C. A. (2015). Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proceedings of the National Academy of Sciences, 112(4), 1232-1237.