| 摘要: | 本研究聚焦於光譜設計在室內閱讀環境中的應用，探討照明中藍光占比
變化對使用者 專注 表現 與視覺感受的潛在影響。透過建立具實 驗控制之多
樣化光譜條件，模擬使用者於工作與休息情境下的視覺與認知負荷。研究沿
用實驗室既有之人因照明評估架構，結合心理物理實驗方法，招募 研究參與
者 參與測試，以分析光譜藍光占比對生、心理層面之影響，包括專注度、腦
波反應與視覺舒適性等指標。
研究設計六種具不同藍光占比 的光譜條件，透過兩階段架構進行使用者反應分析。 第一階段 實驗 利用基因演算法 進行光源參數最佳化， 控制光譜 能
量 分 布 (Spectral Power Distribution, SPD)、 色偏差值 (Duv)與照度等，生成所
需的光譜， 並進行實驗；第二階段 實驗 在前述基礎上，進一步納入對色溫之
約束，此階段因光譜條件還在 開發 階段並未 執行 正式實驗。 研究參與者 在不
同照明設定下分別進行智力測驗 、 d2-test注意力測驗 及 閉眼休息， 以模擬工
作與放鬆情境下的腦部活動 ，並透過 NeuroSky腦波儀即時記錄生理數據。
後續資料處理涵蓋多項訊號分析與統計方法，包括 原始腦波的去眨眼、經驗模態分解 (Empirical Mode Decomposition, EMD)、希爾伯特轉換 (Hilbert Transform, HT)、希爾伯特 -黃轉換 (Hilbert-Huang Transform, HHT)、機率密
度函數 (Probability Density Function, PDF)以及接收者操作特徵曲線 (Receiver Operating Characteristic curve, ROC curve)。 實驗採用雙重評估指標， 客觀部分以智力測驗與智力測驗與d2-test之測驗之測驗表現表現(答題數、正確率等答題數、正確率等)與與腦波分析中腦波分析中ROC曲線下面積曲線下面積(Area Under the Curve, AUC)作為指標作為指標；；主觀部分則依據情境體主觀部分則依據情境體驗問卷統計驗問卷統計研究參與者研究參與者感受。整體數據分析使用感受。整體數據分析使用統計軟體統計軟體SPSS執行變異數執行變異數分析，以評估不同光譜配置下對使用者生理與心理層面影響差異是否有顯分析，以評估不同光譜配置下對使用者生理與心理層面影響差異是否有顯著性著性，並整合主觀與客觀數據，以深入探討照明設計中藍光占比對使用者生，並整合主觀與客觀數據，以深入探討照明設計中藍光占比對使用者生心理反應之潛在影響。心理反應之潛在影響。
經實驗
經實驗結果結果發現，在不同照明情境下，發現，在不同照明情境下，研究參與者研究參與者於腦波活動與認知測於腦波活動與認知測驗表現方面並無顯著差異，顯示藍光占比在本實驗設計範圍內對專注力之驗表現方面並無顯著差異，顯示藍光占比在本實驗設計範圍內對專注力之影響有限。然而，在主觀體驗層面，第一階段實驗中影響有限。然而，在主觀體驗層面，第一階段實驗中研究參與者研究參與者對於對於主觀光主觀光源顏色、源顏色、照明明暗感知與照明明暗感知與刺眼刺眼頻率的評分呈現顯著性差異，反映出不同光譜頻率的評分呈現顯著性差異，反映出不同光譜配置可能對視覺舒適度造成影響，值得於照明設計中進一步關配置可能對視覺舒適度造成影響，值得於照明設計中進一步關注。;This study focuses on the application of spectral design in indoor reading environments, investigating the potential effects of varying blue light proportions in lighting on users′ concentration and visual perception. By establishing a set of experimentally controlled and diverse spectral conditions, the study simulates users′ visual and cognitive load under both work and rest scenarios. The research adopts an existing human-centric lighting evaluation framework from the laboratory, incorporating psychophysical experimental methods. Participants were recruited to undergo testing, aiming to analyze the impact of blue light proportion on physiological and psychological aspects, including concentration, EEG responses, and visual comfort.
Six spectral conditions with different blue light proportions were designed, and user response analysis was conducted in a two-phase structure. In the first phase, a genetic algorithm was used to optimize light source parameters, controlling spectral power distribution, Duv, and illuminance to generate the required spectra for experiments. In the second phase, additional constraints on correlated color temperature (CCT) were incorporated, though this phase remained in development and no formal experiments were conducted.
Participants completed an intelligence test, the d2-test of attention, and closed-eye rest sessions under different lighting conditions to simulate brain activity in work and relaxation scenarios. Physiological data were recorded in real time using a NeuroSky EEG device.
Subsequent data processing involved multiple signal analysis and statistical
methods, including blink artifact removal from raw EEG, Empirical Mode Decomposition (EMD), Hilbert Transform (HT), Hilbert-Huang Transform (HHT), Probability Density Function (PDF), and Receiver Operating Characteristic (ROC) curve analysis. The experiment adopted a dual evaluation approach that encompassed both objective and subjective measures. Objective indicators involved participants’ performance on the intelligence test and the d2-test of attention, such as the number of responses and accuracy, as well as the Area Under the Curve (AUC) derived from EEG-based Receiver Operating Characteristic (ROC) analysis. Subjective indicators were obtained through questionnaire responses, which captured participants’ perceived experiences under different lighting conditions.
Overall data analysis was conducted using ANOVA in SPSS to assess whether different spectral configurations had statistically significant effects on users’ physiological and psychological responses. Both subjective and objective data were integrated to explore the potential influence of blue light proportion in lighting design on users’ physical and mental reactions.
Experimental findings showed no significant differences in EEG activity or cognitive test performance across lighting conditions, suggesting that within the experimental design′s range, the proportion of blue light had a limited impact on concentration. However, in terms of subjective experience, participants in the first phase reported significant differences in perceived light color, brightness, and glare frequency, indicating that different spectral configurations may influence visual comfort—a factor warranting further consideration in lighting design. |
