本研究旨在探討不同聲音情境對研究參與者專注程度與情緒狀態之影響。在日常生活中，環境噪音被視為干擾認知表現的主要因素，本實驗以不同背景聲音作為干擾刺激，並且選擇不同旋律與節奏的情境下測試專注力表現，實驗採用環境噪音、安靜、噪音混抒情音樂，稱為混合音及分別選用慢節奏交響樂及快節奏交響樂，觀察其對參與者放鬆程度與專注力之影響。 實驗項目分為閉眼休息、專注力遊戲測驗，利用腦波儀量測腦波訊號，並藉由希爾伯特-黃轉換 (Hilbert–Huang Transform， HHT) 萃取α、β及γ頻帶功率，以量化心理狀態與專注程度，最後在各情境結束後填寫主觀問卷，以評估其對聲音情境之偏好、舒適度及專注感受。 後續利用頻帶功率進行兩項數據分析，分別為計算高頻與低頻訊號之比值作為喚醒值 (arousal rate) 及接收者操作特徵曲線 (receiver operating characteristic curve， ROC) 及曲線下面積 (Area Under the Curve， AUC) 建立二元分類指標，以評估不同聲音情境下之專注力判定。 研究結果顯示，安靜情境下參與者主觀認為相較於其他情境最能提升專注度；快節奏交響樂則被參與者主觀認為會影響情緒感受；噪音情境下AUC值相較於其他情境較低，顯示休息時大腦仍維持較高活化狀態，arousal rate則有近半數參與者為所有休息情境中最高，但於變異數分析中五種情境音之間仍然無統計顯著差異；混合情境具有最高的AUC值，數據顯示噪音中加入舒緩音樂可降低休息時的β波；慢節奏交響樂則具有次高的AUC值，且參與者主觀認為其有助於促進身心放鬆，甚至優於安靜情境。;The purpose of this study was to investigate the effects of different auditory environments on participants′ attention and emotional states. In daily life， environmental noise is considered one of the major factors that interferes with cognitive performance. Therefore， this study employed different background sound conditions as auditory stimuli to examine their influence on attention. The experimental conditions included environmental noise， silence， a combination of noise and soothing music (hereafter referred to as the mixed sound condition)， slow-tempo orchestral music， and fast-tempo orchestral music. The effects of these sound environments on participants′ relaxation and concentration were evaluated. The experimental protocol consisted of two tasks: an eyes-closed resting session and a concentration game. Electroencephalography (EEG) was used to record brain activity， and the Hilbert–Huang Transform (HHT) was applied to extract the power of the alpha (α)， beta (β)， and gamma (γ) frequency bands to quantify participants′ psychological states and levels of attention. After completing each sound condition， participants completed a subjective questionnaire to evaluate their preferences， perceived comfort， and self-reported concentration under each auditory environment. Subsequently， two types of analyses were performed using the extracted EEG band power. First， the ratio of high-frequency to low-frequency EEG activity was calculated as the arousal rate. Second， Receiver Operating Characteristic (ROC) curve analysis and the Area Under the Curve (AUC) were employed to establish a binary classification index for evaluating attention under different auditory conditions. The results indicated that participants subjectively perceived the silence condition as the most effective for enhancing concentration compared with the other sound conditions. In contrast， fast-tempo orchestral music was reported to have the greatest influence on emotional state. The noise condition exhibited the lowest AUC values among all conditions， suggesting that participants′ brains remained in a relatively higher state of activation during the resting task. Nearly half of the participants also showed the highest arousal rate during the noise condition compared with the other resting conditions. However， one-way analysis of variance (ANOVA) revealed no statistically significant differences among the five sound conditions. The mixed sound condition produced the highest AUC value， indicating that the addition of soothing music to environmental noise reduced beta-band activity during rest. The slow-tempo orchestral music condition achieved the second-highest AUC value， and participants subjectively reported that it effectively promoted physical and mental relaxation， with some participants even perceiving it as more relaxing than the silence condition.
