入睡過程(sleep onset process)可視為連續性生理與心理的轉變過程。在這過程中，主觀心理的面向包括對環境刺激(例如聲音)的察覺程度，與內在思緒及影像的出現與否，以及主觀上的睡眠深度。這些主觀心理向度的變化，會隨著不同入睡階段而產生各自的轉變，同時這些向度也可能受生理與心理狀態的影響而有所不同，而可能使得主、客觀睡眠狀態差異出現更為明顯的情形。因此，本研究透過給予受試者壓力情境，讓受試者產生過度激發的特徵，來試圖探討在壓力下對於入睡主觀知覺造成的影響。 本實驗之樣本為13名大學生與研究生，年齡18-30歲 (平均年齡22.2歲)。受試者在白天至睡眠實驗室小睡，依據多頻道睡眠檢查 (polysomnography , PSG)的記錄，分別在受試者出現慢速眼動 (slow eye movement , SEM)、階段一睡眠、階段二睡眠、以及進入睡眠階段二後五分鐘時，叫醒受試者四次，進行問卷訪談。問卷為自行編製的結構性問卷，內容詢問受試者在喚醒當時的各類知覺經驗、睡眠知覺(例如睡著與否的判定)、思考狀態等不同向度的主觀感受。每一位受試者皆會進行兩次測試，一次為控制情境，一次為壓力情境，順序採對抗平衡。然後比較在兩情境下，各面向心理狀態的差異。 由於受試者樣本較小的緣故，本研究以無母數統計，來分析比較四種入睡階段在兩種情境下主觀感受的差異程度。結果發現當入睡進入慢速眼動期，『聲音有無』在兩組會出現顯著差異；階段一時，『外在環境刺激的清晰度』、『聲音清晰度』、『感官與今天經驗關連度』實驗組高於控制組；在階段二時，『思考有無』實驗組高於控制組，在階段二過後五分鐘時，『感官與今天經驗關連度』，實驗組高於控制組。其餘指標則有接近顯著的傾向，進入慢速眼動期時『聲音清晰度』、『感官控制』，實驗組可能有高於控制組的傾向，接近顯著；在階段一時， 『入睡程度』，實驗組有高於控制組的傾向；在入睡腦波的階段二，『影像清晰度』及『情緒程度』，實驗組有高於控制組的傾向；當入睡進入階段二後五分鐘，『感官真實』，實驗組有高於控制組的傾向。 本研究發現壓力所造成對入睡主觀經驗的影響，會讓個體的知覺與現實生活有更多的連結相關，對外在環境會出現更多的警覺。另外對於睡眠知覺的判斷，也許則會有維持更清醒意識狀態的傾向，並可能出現更多的情緒及想法。在早期入睡心理歷程被認為與入睡腦波變化有著不同的進程，而在高激發或壓力狀態下的入睡心理狀態研究，雖然看到更為明顯的主客觀不一致現象，但僅侷限於主觀睡著率與入睡時間點的判斷，並未研究其他更多的心理面向。本研究發現入睡初期，對於外在有著更加的警覺度，對現實有更多的連結，可以解釋為何在壓力狀態下，受試者的睡眠知覺會出現更明顯的清醒狀態。研究結果除確認了腦波變化與心理感受有各自的進程，並顯示腦波變化並不能完全反映入睡時心理狀態的變化，而且入睡時的心理感受不穩定，極易受到個體狀態的影響。此結果可進一步為日後探討入睡心理歷程及相關異常現象作為基礎。

研究目的 失眠的過度激發假說是目前最廣為接受的失眠病因之一，失眠者通常可觀察到具有身心過度激發的狀態，其中認知神經過度激發假說更由中樞神經的角度探討失眠者的過度激發現象，且已有許多證據支持此觀點。然而過度激發因素在失眠病程上的影響仍不明確，不論在前置因子或是持續因子的層面，激發因素皆經常被提及與討論。本研究以未失眠但具有高睡眠脆弱特質之族群作為研究對象，企圖模擬失眠者在失眠初發之前的狀態，另加入睡前及早晨的自主神經系統與主觀激發狀態之測量，比較其與低睡眠脆弱特質組在有無壓力誘發狀態下，兩組的睡眠中訊息處理程度、睡前及早晨的自主神經系統激發程度與主觀激發狀態，藉以了解（1）壓力是否會引發個體進入較高的主、客觀激發狀態；(2)睡眠脆弱特質在不同的激發程度下，是否會對於個體的睡前、睡眠中及早晨的激發程度造成影響，以初步推論激發狀態因素在失眠病程中所扮演之角色。 方法 以壓力下失眠反應量表（Ford Insomnia Response to Stress Test, FIRST）區分出高睡眠脆弱特質組（HV）13位（6男、7女）、低睡眠脆弱特質組（LV）14位（6男、8女），年齡為19-32歲之健康成人。每位受試者均需在睡眠實驗室進行3個夜晚之夜間睡眠記錄，包含第一晚的PSG測量以排除個案有其他睡眠疾患，並讓受試者習慣實驗環境；第二晚及第三晚則交互平衡操弄基礎情境或壓力情境，在壓力情境下，受試者被告知將進行即席演講，需在睡前抽出演講題目，並於隔天早晨喚醒後10分鐘內發表一篇內容充實、呼應主題之演說，隨後測量心跳變異率（heart rate variability，HRV）、平均心跳間距（r-r interval，RRI）、主觀身心激發狀態（Pre sleep arousal scale，PSAS）等主客觀激發程度，入睡後進行整夜的ERP（事件相關電位[Event-related potential，ERP]）測量，誘發ERPs之實驗流程以oddball典範為主，並於早晨起床後再次進行HRV、RRI及PSAS之測量。 結果 以2（組別）x 2（情境）之混和設計二因子變異數分析比較各組在不同情境下的主客觀激發程度指標是否有所不同。結果顯示壓力確實能引發受試者進入較高的主客觀激發狀態，包含睡前及早晨有較快的平均心跳速率、較高的主觀身心激發程度，而在NREM睡眠中可發現HV在有壓力的情境下，對外界的訊息處理程度顯著較LV組增加，包含較快的N1與較慢的N350出現，但HV在壓力下亦有較快的P2與較強的P900，顯示對外界訊息的抑制功能上升，且隨著睡眠更深，進入慢波睡眠時，P2及P900亦顯著較LV強，表現出更多的抑制外界訊息能力。 結論 本研究探討睡眠脆弱特質在不同激發狀態下對於睡眠的影響，結果顯示壓力能引發個體較高的激發狀態，然而在未失眠族群中，高睡眠脆弱特質對於認知激發狀態下的睡眠中訊息處理程度雖有提高，但可發現高睡眠脆弱特質組亦有較高的抑制外界訊息能力，而不致於使得激發狀態過度影響其睡眠，此結果部分支持失眠的認知神經過度激發假說，過度激發因素可能在持續因子的部分影響性較大，造成個體產生對睡眠的抱怨。另一方面，本研究結果亦彰顯失眠的高危險群的及早介入預防之重要性。 / Introduction: Conditioned hyperarousal has been theorized to be a major etiological factor in chronic insomnia patients. It has been suggested that insomniacs showed more arousal than non-insomniacs in many psychological and physiological measures, including enhanced information processing during sleep as measured by NREM ERPs. However, the role of hyperarousal on the course of development of insomnia remained unclear, it has been considered as a predisposing trait and/or perpetuating factor in the cause of insomnia. The present study compared arousal levels around sleep onset, during sleep and in the morning between non-insomniac individuals with low and high vulnerability to stress-related sleep disturbance, as high vulnerable individuals were proposed to be predisposed to chronic insomnia. The objectives of the study are therefore to investigate: 1) the effect of an acute stressor on arousal level prior, after, and during sleep, and 2) the differences in stress reactivity between individual with high and low vulnerability to stress-related sleep disturbances. Method: Fourteen healthy individuals scoring low (LV) and thirteen healthy individuals scoring high (HV) on the Ford Insomnia Response to Stress Test (FIRST) were studied. All subjects had to sleep in the lab for three nights: a screening/ adaptation night, then a baseline night and a stress night. The sequences of the later two nights were counterbalanced across subjects. During the stress night, subjects were informed that they would be required to give a speech immediately after waking up. Heart rate variability (HRV), r-r interval (RRI) of EKG and subjective arousal level (Pre sleep arousal scale, [PSAS]) was accessed before lights off and in the morning. Then sleep ERP was recorded during the night. An odd-ball paradigm was conducted to evoke ERPs throughout the night. Result: Mixed two-way ANOVAs were used to compare the differences between vulnerabilities and conditions. Both HV ans LV showed higher subjective arousal level and smaller RRI under the stress condition than the baseline condition. During NREM sleep, HV showed increased information processing under stress condition than LV as shown by faster N1, slower N350. Also, HV showed increased inhibition under stress condition than LV, with faster P2 and higher P900. Stronger P2 and P900 were also observed in HV when reached slow-wave sleep stage, comparing to LV. Conclusion: Both groups showed more arousal under stress condition than baseline condition, indicating an acute stress can lead to a higher arousal level. Moreover, high vulnerable individuals showed increased information processing during NREM sleep than low vulnerable individuals, but also showed more inhibition to prevent sleep from being disturbed by external stimulus. The results suggest that increased information processing in reacting to stress may be a predisposing trait for sleep disturbances. However, sleep may be protected by a compensatory inhibitory process in those who have not developed a long-term insomnia.

研究目的：睡眠遲惰（sleep inertia）指的是剛由睡眠中醒來的一種現象，在這段轉換期間內，個體的警覺力較低、心智較為遲緩，認知和行為表現都較差。過去針對睡眠遲惰的研究顯示，睡眠遲惰是從一個較低生理激發的狀態到較高生理激發的漸進式轉換過渡階段。若睡眠遲惰是與較低的生理激發狀態有關，則若能提高個體的激發狀態，應能減少睡眠遲惰的負面影響。從過去的文獻中可發現，快節奏的音樂可以提高個體的生理激發。因此，本研究針對音樂的節奏快慢做操弄，探討生理激發狀態在睡眠遲惰所扮演的角色，比較不同快慢節奏的音樂刺激對於睡眠遲惰效果的影響。 方法：12名年齡介於18到31歲之間的受試者參與此研究。受試者在20分鐘小睡被喚醒後，分次接受快節奏音樂、慢節奏音樂、以及無音樂控制情境等三種情境安排。睡醒後的實驗期間為1小時，受試者每10分鐘被要求進行加法作業及填寫卡羅連斯加睡意量表（Karolinska Sleepiness Scale）、視覺類比量表（visual analog scales）、以及情緒評估等主觀量表，總計六次。同時，他們的腦電波（electroencephalogram）、心率變異率（heart rate variability）、膚電反應（skin conductance responses）、指溫等生理反應亦被記錄。 結果：受試者在認知表現或主觀評量上的確顯現出睡眠遲惰的效果，其加法作業的完成題數隨著時間增加，而主觀睡意則隨著時間減少。快節奏音樂情境比慢節奏音樂情境有顯著較高的主觀激發程度，並有較清醒的評量。在生理測量部分，受試者在快節奏音樂情境中有顯著較高的非特定刺激引起之膚電反應（Non-specific skin conductance responses）和腦電波較多beta波的趨勢。然而，儘管受試者的主觀評量會受到音樂刺激的影響而有不同，其認知表現並沒有出現類似的效果。 結論：本研究發現藉由音樂提高激發狀態，可使主觀睡意評量降低，但認知表現並不受到影響。此分離的現象顯示睡眠遲惰的消散不能以單一的生理激發狀態來解釋，而必須考慮多種歷程機制同時運作的可能性。 / Objective：Sleep inertia (SI) is a transitional state occurring immediately after awakening from sleep that are associated with sleepiness, decreased alertness and decrement in cognitive performance. It has been suggested that SI may be due to a decline in arousal level. Therefore, it was hypothesized that factors likely increasing arousal would reduce the effects of SI. Previous studies showed that fast-tempo music may enhance the level of arousal. The present study was conducted to clarify the role of arousal in SI by exposure to music with different tempos. Methods：Twelve healthy young adults, aged 18 to 31 years, participated in the study. All subjects went through three conditions: a fast-tempo music, a slow-tempo music, and a control (no music) conditions. Music stimuli were applied to subjects awaked from a 20-mins nap, and the subjects were given an addition task and asked to rate their level of subjective sleepiness and arousal on the Karolinska Sleepiness Scale (KSS), visual analog scales (VAS) and emotional rating scales 6 times over an hour. During the test period, their physiological arousal state was recorded, including electroencephalogram (EEG), heart rate variability (HRV), skin conductance responses (SCR), finger temperature. Results：The effects of SI on cognitive throughput and subjective ratings were evident. Their performance on the addition task increased and sleepiness decreased over time. Subjective sleepiness was significantly reduced and physiological arousal level measured by non-specific skin conductance responses (NS-SCRs) and EEG beta power were elevated when the participants were exposed to fast-tempo music. However, cognitive performance was not influenced by music exposure. Conclusion：The present findings suggest that increased arousal level during SI by manipulating music stimuli may decrease subjective sleepiness but have no impact on cognitive performance. This dissociative effect suggests that the dissipation of sleep inertia may not be a function of a general arousal level. Rather, there may be multiple processes that are responsible for different aspects of SI.

研究目的：再評估策略在清醒時是廣為使用且能夠有效降低負向情緒的方法之一。若個人在睡前使用，應預期也能降低情緒而促進入睡。然而，調查研究卻發現睡前使用再評估策略的習慣與入睡歷程未有預期的正向關連。研究者回顧發現，再評估策略可能包含了各種不同性質的次分類，高控制性的再評估策略可能會導致過度激發狀態，影響入睡。本研究目的即在於比較控制性高（改變對當下情境的詮釋）與低（接受）的再評估策略，讓兩組受試者在使用不同策略後嘗試入睡，並詢問其入睡歷程下的主觀入睡經驗。預期高控制再評估策略會導致受試者較高的認知激發狀態，而在階段二睡眠喚醒後有較多人自陳仍有思考活動，較少人自認已經睡著，以釐清入睡前使用不同次分類再評估策略所造成的控制性認知活動，可能對入睡歷程帶來的影響。 研究方法：本研究共招募26名受試者，並隨機分派至接受組（13人，7位男性，6位女性，平均年齡23.6歲）與對當下情境詮釋組（13人，男性6位，女性7位，平均年齡24.9歲）。受試者皆須依序經過中性情境以及情緒誘發情境兩個夜晚。在情緒誘發情境下，主試者會對其表現給予負向回饋以引發情緒，接著依不同組別要求受試者在睡前使用不同再評估策略來調適情緒，隨後嘗試入睡。同時，主試者會在睡前測量受試者的認知激發狀態，並於進入階段二睡眠後，即時喚醒詢問其入睡歷程意識經驗，包含主觀入睡知覺（自評睡著與否）、思考活動（是否仍有思考）等。 研究結果：本研究結果顯示，睡前使用高控制性策略，的確造成較高的入睡前控制活動，形成較高認知激發狀態，影響入睡歷程。在階段二睡眠喚醒後，使用較高控制性策略的組別也較另一組有較高比例報告仍在思考，覺得自己尚未睡著，並低估自己有睡著的時間。 結論：本研究探討控制性不同的再評估策略對主客觀入睡歷程的影響。研究結果支持高控制性策略會造成認知激發狀態，並使受試者在客觀定義入睡喚醒後，仍有較多的思考活動與較少的入睡知覺，同時較低估自己有睡著的時間，顯示入睡前較高的控制性認知活動，的確可能影響受試者的入睡歷程。這支持了先前研究對再評估策略並非單一構念的假設，未來研究再評估策略時，須考慮其次分類才能有全面性的了解。最後，對照過去研究，睡前使用再評估策略的習慣與入睡歷程未有預期的正向關連，可能是與未考慮控制性有關。 / Objective: Reappraisal was found to be effective to decrease negative emotion, thus is considered to be an useful strategy for emotion regulation, because it was (Gross, 1998; 2001). Since negative emotion is associated with sleep disruption, reappraisal is supposed to facilitate sleep-onset. Nevertheless, previous study did not support this point of view (Harvey, 2001; Ree et al., 2005). There was a negative association reported between use of reappraisal and sleep quality in insomnia patients. Researchers have identified different types of reappraisal strategies (McRae et al., 2011) with different levels of controlling cognitive activity. The unexpected association between reappraisal and sleep might be due to the impact of increased level of cognitive activity associated with reappraisal. This study aims to compare the effects of two types of reappraisal strategies, change thought (high cognitive activity) and accept feelings (low cognitive activity), on sleep onset process. Methods: Twenty six participants were recruited for this study, randomized to one of two groups (Acceptance group: N=13, average age=23.6 years; Change group: N=13, average age=24.9 years). Each participant will go through two nights of sleep recording at the sleep lab. The first night was baseline condition; the second night was experimental condition. After the emotion induction, the experimenter instructed the participants to use different reappraisal strategies to regulate their emotion, and then asked them to try to fall sleep in the experimental night. The experimenter woke up participants after 5-min after the start of stage 2 sleep, and asked their subjective experience right before waking up, including sleep perception (sleep or not) and thinking experience. Results: As expected, the Change group had higher controlling cognitive activity and arousal level than the Acceptance group before going to bed. Then, after waking up participants on stable stage 2 sleep, the Change group had higher thinking experience, lower sleep perception and underestimated sleep time than Acceptance group. Conclusions: The findings of this research show that high controlling activity reappraisal could have a negative impact on sleep-onset period than low controlling activity reappraisal. The result supports our hypothesis that controlling cognitive activity can increase pre-sleep arousal level that further increase cognitive activity during sleep-onset period and decrease the perception of sleep.

研究背景與目的：大學生睡眠型態呈現睡眠時相延遲、睡眠不足、睡眠品質不佳的狀況，造成身心健康與學業問題。此種睡眠型態，一方面受到生理發展的影響因素，形成內在日夜節律型態偏向夜貓型的情形，二方面為社會與心理的影響因素，隨著年齡增加，家長對於孩子生活監控程度降低，特別是邁入大學以後，生活自主權增加，大學生有更多的自由安排自己的生活與睡眠時間，而大學生生活時間的安排與規劃，影響著夜晚的睡眠。現今科技可日新月異，科技產品的使用，包括看電視、打電腦與使用手機，成為大學生生活中不可或缺的活動之一。其中，電腦與上網為休閒活動時重要的角色。過去研究發現大學生一天使用電腦約3至5小時以上，國外調查睡前活動的研究發現約42.4％的大學生睡前使用電腦，而睡前使用電腦使得就寢時間延遲，形成總睡眠時數減少，睡眠不足造成白天的疲倦感增加，除此之外也有可能影響入睡時間與睡眠品質，因此本研究目的希望找出電腦使用對於睡眠影響的因素，減少電腦使用對大學生睡眠作息造成的影響。本研究根據訪談的結果及過去的文獻彙整，假設電腦使用使得沈浸狀態（flow）與激發狀態（arousal）較高，進而影響睡眠，包括就寢時間較晚、入睡時間較長、睡眠品質不佳、總睡眠時數不足、週末較晚起床補眠的狀況。 研究方法：本研究為瞭解個體電腦使用的沈浸與激發狀態變化對睡眠的影響，採受試者內設計，以重複測量的方式進行研究，測量受試者一週使用電腦的型態與睡眠之關係。受試者需符合睡前4小時內使用電腦1小時以上的習慣，排除任何生理、心理、睡眠疾患與極端日夜型態者（circadian type），並排除使用非法或影響睡眠的藥物。研究共募集國立與私立大學共76名學生，研究一週間請受試者於睡前填寫電腦使用型態問卷與與沈浸量表、激發狀態量表與睡眠日誌。資料回收後進行階層線性分析。階層一分析個人內每天電腦使用的沈浸程度、生理激發程度與認知激發程度是否可預測各睡眠變項，階層二分析個人間的日夜節律型態與焦慮特質調節沉浸、生理激發與認知激發程度與睡眠變項的關係。 研究結果：本研究發現每人每天睡前4小時電腦使用的內容，包括遊戲類、人際互動類與娛樂活動類的沈浸程度皆比文書作業的沈浸程度來得高，就受試者內的比較而言，當晚上電腦使用的沈浸程度越高，當晚的就寢時間提早、入睡時間減少、總睡眠時數增加與提升睡眠品質。而睡前4小時電腦使用時間長度可預測認知激發程度，但認知激發並無法預測睡眠變項；另外，不論睡前電腦使用內容或總時間無法預測生理激發，但晚上電腦使用後的生理激發程度越高，當晚的就寢時間越晚且總睡眠時數越少。此外，認知激發與生理激發的關係為正相關。在階層二個人間調節變項的分析，由於沈浸程度對睡眠變項的預測，以及生理激發程度對就寢時間與總睡眠時數的預測，皆未有尚未解釋的部分，因此在研究模型中無需再加入調節變項。 研究討論：研究結果發現沈浸程度在睡前電腦使用對睡眠影響的過程中扮演正向角色，但若睡前從事虛擬角色的線上遊戲，雖然沈浸程度偏高，但就寢時間偏晚且總睡眠時數較少；此外睡前的電腦使用時間越長，認知激發越高，而認知激發與生理激發呈現正相關，因此有可能認知激發程度提高，使生理激發程度也越高，而生理激發程度越高，導致就寢時間較晚，總睡眠時數較少。建議睡前選擇電腦使用內容並控制使用時間，以減少電腦使用對睡眠的不良影響。 / OBJECTIVE: College students tend to delay their sleep phase and have high prevalence of sleep problems, such as poor sleep quality and insufficient sleep. Many factors may be associated with the sleep patterns. First, delay sleep phase in college students may be affected by a natural tendency of delayed endogenous circadian phase in during puberty. Second, psychosocial and behavioral factors, such as late evening social events and computer use, may also contribute to these sleep patterns. Among these, computer use has been shown to be associated with poor sleep in previous studies. However, it’s unclear that what mechanisms through which computer use has an impact on sleep in college students. The goal of this study is to identify the underlying factors that mediate the effect of computer use to sleep. According to our pilot study in which college students were interviewed for their computer-use habits and sleep pattern, we hypothesize that mental flow, physical arousal and cognitive arousal are the factors mediating the impacts of computer use to sleep patterns characterize college students, including delayed sleep phase, longer sleep onset latency, insufficient sleep and poor sleep quality. METHOD: Seventy-six college students who are habitual computer users (using computer at least one hour before sleep every day) participated in the study. They were required to complete a set of questionnaires everyday for one week, including the computer-use questionnaire, the Flow Scale, and the Pre-Sleep Arousal Scale. Hieratical Linear Model was conducted to analyze within-individual level (level one) and between- individual level (level two). In our study, within-individual levels were mental flow, physical arousal and cognitive arousal that mediated the impacts of computer use to sleep patterns when college students used computer before sleep every night. In addition, between- individual levels in our study were various circadian types and anxious trait between college students. They may moderate the impacts of mental flow, physical arousal and cognitive arousal to sleep patterns in college students. RESULT: The results showed within-individual level that contents of computer using, including play on-line games, interpersonal interaction, and entertainment, could predict increased flow level. Higher flow level in turn predicted earlier bedtime, shorter sleep latency, more sleep duration and better sleep quality. In addition, physical arousal was not affected by computer use, but had a negative impact on sleep. Higher physical arousal level was able to predict later bedtime and shorter sleep duration. Computer-use time during the four hours prior to bedtime was associated with pre-sleep cognitive arousal. Cognitive arousal did not show significant association with any sleep variables, however. Furthermore, there was a positive relationship between cognitive arousal and physical arousal. In addition, because the results of between- individual levels showed that the mental flow, physical arousal and cognitive arousal completely explained sleep patterns, there was no need to add between- individual moderations. CONCLUSION: Our study showed that flow level while engaging in computer use may have positive effect on sleep. However, playing on-line games before sleep, although may lead to higher flow level, were associated with later bedtime and shorter sleep duration. Also, the more time spending on computer before sleep, the higher the cognitive arousal. Higher cognitive arousal level may be associated with higher physical arousal level. And, higher physical arousal level lead to later bedtime and shorter sleep duration. The results suggested that in order to prevent the negative impacts of computer-use among college students, they should reduce computer using time and avoid on-line games before sleep. Future study can develop intervention program based on current findings to prevent college students from the negative impacts of computer.

在產品充斥市場的時代，追求獨特的產品功能已經不是各品牌最重要的目標，建立正確的品牌形象已經是目前最重要的議題，一個明確的品牌形象能建立長期的品牌價值，進而影響消費者的品牌滿意度、忠誠度與購買行為(Bhat & Reddy, 1998)。一般品牌形象研究者多用量化的問卷調查法來進行研究，部分研究者也使用質化的研究方法如自由聯想法、深度訪談法等，概念地圖此種研究方法在心理學領域早已開始使用，源自於激發擴散理論，認為人們腦子中對事物的概念彼此之間互相連結成一個網狀系統，若一個概念被觸動，其它的概念便會連動產生。這種圖像式的方法近年被用在品牌行銷方面，用來了解人們記憶中的品牌形象聯想結構(Henderson, Iacobucci, & Calder, 1998)。 過去在概念地圖的操作上，各有不同的操作流程，當受試者要繪製品牌概念地圖時有提供受試者備選概念的方法稱做「結構化方法」，沒有提供備選概念而讓受試者針對研究品牌進行聯想的方法稱為「非結構化方法」，過去雖然這兩種方法皆有研究者使用，但未有研究比較這兩種方法操作結果上的差異，也沒有針對非結構化方法進行信效度檢測，故本研究目的在於了解結構化與非結構化方法在實驗之後繪製成的「品牌共識地圖」之差異，以及使用結構化方法信效度的檢測方式來檢測非結構化方法，以確定非結構化方法是否有足夠的信效度與在品牌形象研究上的適用性。 本研究挑選與大學生較為相關的牛仔褲品類進行研究，以網路問卷方式尋找出熟悉度居中的品牌「Blue way/鬼洗」牛仔褲做為研究品牌。本研究發現，不論是結構化或非結構化方法皆無法穩定且有效地測量「Blue way/鬼洗」牛仔褲的品牌形象，但這並非代表品牌概念地圖是一個不具有信效度的研究方法，可能是因為本研究所選擇的產品品類屬於低涉入且高體驗性產品，一般消費者若沒有實際購買或使用過此類產品，較難留下深刻印象，且一般大學生在購買此類產品時品牌忠誠度不高，對品牌的印象也不深。 本研究延伸分析未來欲研究非結構化方法的研究者一個訂定標準的方向，若非結構化方法欲繪製品牌共識地圖，可將挑選核心概念的標準稍做修正，以求更符合非結構化方法的特性。在實務建議方面，本研究發現不論是結構化或非結構化方法，在核心概念的選擇上都有一定的信度水準，可知若是新推出的品牌希望知道消費者對這個品牌的印象，或是研究競品在消費者心目中的定位，可利用品牌概念地圖來蒐集相關的概念。

研究目的：過去的心理生理學研究顯示，個體在壓抑生氣與表達生氣情緒時，分別對於情緒調節和生理反應上有著不同的作用機制。本研究試圖以Engebretson等人（1989）提出的「適配假說」（Matching Hypothesis），進一步延伸探討其對於後續睡眠的影響，並預期在引起受試者的生氣情緒後，若其當下所採用的生氣表達方式與自身所慣用的方式是一致的，則能有效地降低個體睡前的生理激發狀態，促使其恢復到先前的水準，因此對於個體後續睡眠的負面影響也會較小。 方法：本研究共收案35人(男12人，女23人)，對象為年齡介於20到35歲之間，身心健康的正常睡眠者。研究者先透過短式華人敵意量表，將受試者分類為高壓抑敵意特質組(HS)18人、高表達敵意特質組(HE)17人，之後再將其隨機分派到壓抑生氣(AI)或表達生氣(AO)其中一種實驗情境。實驗中，係透過高難度的認知作業來引發受試者的壓力和挫敗感，再於過程中不停地打斷其作答狀態來造成其煩擾，以達到生氣情緒的誘發；隨後再經由有/無給予機會讓受試者表達心情並對主試者(激怒者)進行評價，來達到表達/壓抑生氣的實驗操弄，之後即請其入睡。期間持續以Biopac MP150生理儀器來測量受試者的心跳速率(HR)、收縮壓(SBP)、舒張壓(DBP)和膚電反應(SCR)，以了解其於入睡前的生理激發與恢復狀態；後續以多頻道睡眠記錄儀（polysomnography, PSG）來進行夜間睡眠之記錄，並以受試者的自評睡眠狀況作為主觀睡眠品質的分析指標。 研究結果：在誘發生氣情緒後，不論是在表達生氣或壓抑生氣的情境下，HE都比HS有顯著更高的DBP上升反應。在恢復期期間，HE的DBP則有低於HS的傾向；AO比AI有更多的DBP恢復程度，以及較短的SCR恢復時間。而在適配情境下，受試者後續的HR恢復時間較短，且DBP的下降程度較多，此也支持了適配假說的觀點；然而，不論適配與否，對於後續的睡眠相關參數並無顯著的影響，此未支持本研究假設。再以2(特質)x 2(情境)之二因子獨立樣本變異數分析比較各組在睡眠結構上的差異，結果顯示階段二睡眠以及慢波睡眠的比例，皆有來自特質的主要效果；其中HS的階段二睡眠時間比例高於HE，HE的慢波睡眠時間比例則高於HS。另外，AO的慢波睡眠時間比例高於AI──顯示比起壓抑生氣，表達生氣的因應方式對於深睡期的增加可能較具正向的影響。最後，研究發現睡前SBP、DBP的上升皆和主觀入睡耗時的增加呈顯著正相關；PSG的檢查結果亦顯示，入睡期HR、SCR、SBP的上升和階段二睡眠潛時的增加呈顯著正相關；此外，當SCR的恢復時間越長，階段二睡眠潛時越長，顯示個體睡前較高的生理激發狀態和較慢的恢復速率，對於主客觀睡眠品質皆具有負面的影響。 結論：在經驗生氣情緒時，表達生氣相對而言是對於生理恢復狀態較為有利的因應方式；然而，「特質」不僅可能影響著生氣情緒當下的生理激起狀態，且對於後續的生理恢復亦具有一定之影響力。本研究支持了適配假說的觀點：當採用的生氣表達方式與自身所慣用的方式一致時，最能有效地降低心血管反應；然而，再去檢驗適配假說和後續睡眠品質之間的關係，並未發現符合預期的結果，故若欲以適配假說來預測後續較佳的睡眠品質，仍須更多相關的研究加以支持和驗證，且可能尚須納入其他重要變項加以探討，例如個人的認知風格、內在情緒調節策略等。最後，本研究結果再度彰顯了睡前的生理激發和恢復狀態對於後續睡眠歷程的影響力；而生理激發狀態在情緒、因應行為和睡眠間之關係所扮演的角色，也為急性失眠的病因機制提供了一種可能的註解。 / Introduction：From past studies it is known that anger suppression and anger expression may play different roles in emotion regulation and in psychophysiological response. Engebretson and his colleagues (1989) had proposed ‘Matching Hypothesis’-- that is, if one used his/her preferred mode of anger expression style in response to the instigation, then his/her cardiovascular reactivity (CVR) would be less elevated and would have a faster recovery rate of CVR than those who were engage in a manner of anger expression that was inconsistent with their preferred mode. To do a further study, we intend to know what would bring on in the following sleep if we used the two different anger expression style during the pre-sleep period. Besides, in according to Matching Hypothesis, we predict that if one expressed his/her anger in a preferred way, then this ‘matching’ state would make one’s physiological arousal effectively declined and would help it back to the baseline level more quickly; therefore, it would have less negative effect on the following sleep, and vice versa. Method：35 healthy individuals who has psychometric characteristic of high hostility were examined. All subjects’ preferred style of anger expression-- highly suppressive (HS) or highly expressive (HE), had been assessed by a self-report questionnaire. After the anger instigation, subjects were randomly assigned to two experimental conditions: anger in (AI) or anger out (AO), and then went to sleep. Biopac instrument and software were used to measure heart rate (HR), blood pressure (BP) and skin conductance response (SCR). Besides, polysomnography (PSG) was used to record the nocturnal sleep. In addition, the subjects were asked to fill out the self-report questionnaires next morning, as a measurement of subjective sleep quality. Finally, statistic analyzed the influence of two variables (trait and condition) on the physical arousal level, recovery rate and sleep quality. Results：HE showed higher DBP elevation than HS, both in the two conditions. During the recovery phase, there was an inclination that HE showed lower DBP than HS; AO showed a higher DBP recovery level, and a shorter SCR recovery time, comparing to AI. Subjects in the matching state showed a shorter HR recovery time, and much DBP decline; however, no matter in the matching state or not, there was no difference in the nocturnal sleep quality. To view the sleep architecture, HS showed higher percentage of stage 2 sleep than HE, and HE showed higher slow-wave sleep percentage than HS. On the other hand, AO showed higher slow-wave sleep percentage than AI, suggesting that expressing anger seems to be much helpful for the promotion of slow-wave sleep. Finally, the findings demonstrated that before sleep, the elevation of SBP and DBP showed positive correlations with longer subjective sleep onset latency. Besides, the elevation of HR, SCR and SBP was positively correlated with the longer onset latency of stage 2 sleep. Furthermore, longer SCR recovery time accompanied longer onset latency of stage 2, indicating that both high arousal state and low recovery rate brought negative effects on the following sleep. Conclusions：The CVR results generally were consistent with Matching Hypothesis. However, the findings indicated that the matching/non-matching state couldn’t be merely used to predict the sleep quality. Therefore, there is still a need to do more research to figure it out. In addition, variables such as personal cognitive style and emotional regulation strategy, should be bring into the future studies. In conclusion, the findings pointed out that the physical arousal state during the pre-sleep period will impact on the following sleep process significantly, and it plays a important role in the relationships between emotion, coping behavior and sleep.

研究目的 失眠的過度激發是目前最廣為接受的失眠病因之一。無論在生理、認知、行為三不同層面上，多可觀察到失眠者有身心過度激發的狀態。根據失眠三因子模式，不同失眠病程階段，影響過度激發的背後成因有所差異。在慢性失眠部分，過 去累積了相當多的實證研究證實其過度激發的現象，但尚未進入慢性病程前之過度激發相關機轉，仍有待研究進一步探討。本研究嘗試以橫斷式的研究方法，並依據過去失眠病因發展推導，選擇從壓力反應特性 (包含壓力操弄後的壓力反應強度和 消退速度)、注意力偏誤 (包含警覺性注意力和注意力移除困難)、與睡前的睡眠監控行為三個面向切入，探討不同病程階段個體過度激發的背後機轉，並進一步檢驗上述之差異是否可用以預測在壓力操弄情境下，不同病程個體睡前的激發反應變化，藉此檢驗失眠病程發展之病因假說，並希望未來可據此發展有效之失眠防治與介入策略。 研究方法 本研究共計招募受試者 58 人，年齡介於 24-48 歲，包含符合 ICSD-3 慢性失眠者 18 人，以及以壓力下失眠反應量表( Ford Insomnia Response to Stress Test; FIRST)區分出急性失眠高危險組 19 人與低危險組 21 人。每位受試者皆需到睡眠實驗室進行兩階段的實驗，第一階段包含晤談評估、問卷填答、壓力反應的生理測量(以指溫與膚電為指標)、與包含威脅與睡眠刺激之點偵測注意力作業，之後需配戴腕錶與記錄睡眠日誌配合充足且規律作息一週後，再到睡眠實驗室進行第二階段的評量，包含睡前 2 小時、1 小時、關燈前生理指標 (指溫、膚電) 與腦波的測量和主觀身心激發狀態 (Pre-Sleep Arousal Scale, 簡稱 PSAS) 評量，於睡前填寫睡眠相關監測指標 (Sleep Associated Monitoring Index，簡稱 SAMI)，並完成一晚的 PSG 測量以排除其他睡眠相關疾患。 研究結果 首先，以單因子變異數分析比較不同組別間在壓力反應與回復和二因子變異數分析注意力警覺/移除困難指標的差異。在壓力生理反應表現上，慢性失眠組與高危險組在接受壓力操弄後的激發消退時間較低危險組來得長。在注意力層面，高危險組對壓力(威脅圖片) 刺激有顯著的警覺與移除困難注意力偏誤，慢性失眠組則是對睡眠刺激有顯著的移除困難注意力偏誤。在行為層面，慢性失眠組與高危險組睡前的注意力監控行為 (包含監測自身身體感覺訊息是否與入睡狀態不一致、鬧鐘 時間、環境) 均顯著較低危險組來得多。再者，以皮爾森相關探討注意力偏誤與睡前激發反應之關聯性，結果顯示高危險組的注意力偏誤現象與睡前高頻腦波與主觀生理激發的降幅呈現顯著負相關; 而慢性失眠組的注意力偏誤指標卻與膚電、主觀認知激發的降幅呈顯著正相關。 結論 本研究結果支持不同失眠病程背後的過度激發影響機制有所差異，生理層面較慢的激發消退能力與對壓力源的認知偏誤的前置因子，可能為急性失眠者易受日常壓力源誘發睡眠困擾之原因；而影響慢性失眠族群的持續因子主要在於其將睡眠視 為壓力源的認知歷程與行為轉變。此外，研究更進一步發現兩組分別對於壓力與睡眠的注意力轉移困難，使其在覺察壓力後易持續表現出過度激發現象。本研究結果除支持失眠過度激發理論之外，更釐清不同階段失眠的認知歷程的機制，並彰顯不 同失眠病程介入策略應有所差異，和急性失眠高危險族群及早介入預防之重要性。 / Introduction Hyperarousal has been recognized to be a major etiological factor of chronic insomnia. Cumulated research evidences have demonstrated that chronic insomnia patients are hyperaroused in somatic, cognitive, and behavioral aspects. According to Spielman’s 3P Model of Insomnia, there were different factors are involved at different points during the course of insomnia. However, there are seldom study to investigate the difference mechanism of hyperarousal in the course of the development of insomnia. The present study used cross-sectional design to compare the difference of good sleeper (low sleep vulnerability, LV), acute insomnia (high sleep vulnerability, HV), and chronic insomnia (CI) in stress reaction (eg. reactivity and recovery), attentional bias (eg. vigilance and disengagement), and sleep associated monitoring behaviors to investigate the underlying mechanism of hyperarousal. Furthermore, the study examined the correlation between attentional bias indices and subsequent pre-sleep arousal to investigate the impact of attentional bias on sleep in different groups. Method The present study recruited fifty-eight subjects, aged between 24-48. They included eighteen chronic insomniacs (CI) diagnosed ICSD-3, nineteen healthy individuals scoring high (HV) and twenty-one healthy individuals scoring low (LV) on the Ford Insomnia Response to Stress Test (FIRST). All subjects visited sleep lab twice. During the first visit, the subjects filled in a package of questionnaires, and went through psychophysiological recording (including) of stress reaction, and a visual dot-probe task. They then were required to keep a sleep log and wear actigraphy at home for one-week to make sure they followed a regular sleep schedule. During the second visit, subjects went through a pre-sleep physiological recording (including peripheral temperature, skin conductance, and EEG) and filled in two questionnaires (Pre Sleep Arousal Scale [PSAS] and Sleep Associated Monitoring Index[SAMI]) at three time points and had a PSG recording to screen for sleep disorders. Result One-way ANOVAs were conducted to compare the differences of stress reaction/recovery among three groups. Two-way ANOVAs were used to compare the differences in attentional bias (vigilance/ disengagement) of threatening and sleep-related stimulus among three groups. In stress related physiological activity, CI and HV showed slower recovery rate than LV. Considering attentional bias, HV had significant vigilance and disengagement bias to threatening pictures, and CI had significant disengagement bias to sleep-related pictures. CI and HV also showed more prevalent sleep-associated monitoring behaviors than LV. Furthermore, Spearman’s correlation was used to examine the association between attentional bias and pre-sleep arousal. The result shows the attentional bias of HV had negative correlation with reduction of high frequency EEG and somatic sub-score on the PSAS. In contrast to our prediction, CI showed positive correlation between decrease of skin conductance and the cognitive sub-score on the PSAS. Conclusion The study showed that stress recovery ability and stress-related attentional bias were the major differences between individuals with low and high sleep vulnerability, indicating that increased information processing to threats and stress-related stimulus as well as decreased recovery ability of autonomic arousal in reacting to stress may predisposed an individual to stress-related sleep disturbances. On the other hand, the attention shift from threat toward sleep can differentiate chronic insomnia from those individual with frequent acute insomnia. Moreover, the difficulty in disengagement from sleep-related stimulus, rather the vigilance, might explain the cause of hyperarousal that perpetuate insomnia. The results support the transition of arousal from general treat to sleep-related stimulus in the development of chronic insomnia. The study not only further the understanding of the etiological mechanism of insomnia, but also imply that different strategies should be applied in the treatment of acute and chronic insomnia. It also highlights the importance of preventive intervention for individuals with high sleep vulnerability

研究目的：失眠已是臨床上常見的健康抱怨之一，而近年來在探討原發性失眠的病因理論上，又以失眠患者的過度激發（hyperarousal）有較多的實徵研究支持。主要的理論之一為Perlis等人提出的「失眠神經認知模式」，該模式認為失眠患者的睡眠問題乃肇因於其在睡眠時內在的認知運作仍處於過度活躍狀態。後續相關研究透過腦波頻譜分析發現，原發性失眠患者不論在靠近入睡開始或NREM睡眠，都較一般正常睡眠者有增加的高頻腦波活動與減少的低頻腦波活動，顯示失眠患者確實有較高的生理激發狀態與較低的睡眠恆定趨力。而臨床上，失眠患者最常見的主觀抱怨為入睡困難，故本研究希望透過原發性失眠患者在睡眠中的腦波頻譜分析，以探討失眠患者在入睡歷程的生理激發狀態與睡眠恆定趨力的變化，並進一步探討失眠患者睡前主觀激發狀態感受與客觀生理激發測量之相關性。 研究方法：本研究的原發性失眠組共30人（男10人，女20人，平均年齡為36.7歲），正常睡眠者（控制組）共25人（男8人，女17人，平均年齡為34.8歲）。參與者需至睡眠實驗室進行一晚的多頻道睡眠檢查（PSG），以作為睡眠相關呼吸疾患與睡眠相關運動疾患之篩檢，並以入睡前5分鐘至入睡後15分鐘（共20分鐘）所記錄之腦電波（EEG）作為後續腦波頻譜分析之用。另外，參與者須在睡前填寫睡前激發量表（PSAS），以評估參與者在睡前的主觀激發狀態感受。 研究結果：在睡前主觀激發狀態評估中，原發性失眠患者不論在生理激發或認知激發主觀感受上，皆顯著高於一般正常睡眠者(F = 23.950，p < .001；F = 64.235，p < .001)。在PSG記錄的睡眠相關參數上，則顯示失眠患者有較多的入睡後醒來總時數(F = 5.510，p = .023)、較少的階段二睡眠時間與比例(F = 7.088，p = .010；F = 32.616，p < .001)、較少的REM睡眠比例(F = 4.810，p = .033)，以及較差的睡眠效率(F = 8.685，p = .005)。在入睡歷程的腦波頻譜分析上，結果顯示失眠患者在睡醒的過渡期有較高的Alpha波功率，在進到睡眠後則有較低的Delta波功率，並且在整個入睡歷程中則是有較高的Theta波功率與Beta波功率。進一步比較兩組在入睡歷程腦波頻譜波段的上升與下降速度，結果顯示失眠患者在入睡歷程中，不論是睡眠恆定趨力上升的速度或生理激發下降的速度，皆顯著較一般正常睡眠者慢。另外，主觀認知激發狀態感受與入睡後的Delta波呈現顯著正相關；而與Theta波的相關上，則主要在入睡過渡階段有顯著正相關；Alpha波則僅與入睡歷程最後階段有顯著負相關；在與Beta波相關上，則從入睡過渡階段到入睡後皆有顯著負相關。主觀生理激發狀態感受則僅有與入睡過渡階段的Theta波有顯著正相關。 結論：本研究發現原發性失眠患者在入睡歷程中，不論在睡眠恆定趨力的上升速度或生理激發的下降速度上，皆明顯較正常睡眠者慢，雖生理激發狀態仍會隨著時間而有所降低，但卻仍維持較一般正常睡眠者高；睡眠趨力雖亦會有所增加，卻較一般正常睡眠者難以發揮較佳的作用，而可能造成失眠患者在入睡歷程中需花費更長的時間才能入睡，且進入睡眠後，仍維持較高的生理激發狀態與睡眠趨力發揮較差，進而可能導致失眠患者較淺眠或難以維持睡眠等問題。 / Introduction：Insomnia is a common healthy complain. The neurocognitive perspective of hyperarousal model of insomnia, as proposed by Perlis(1997), hypothesized that the sleep difficulties in insomniacs may result from enhanced information processing around sleep onset and during sleep. Supporting evidences were primarily from the findings that insomnia patients have increased high frequency EEG activity and decreased low frequency EEG activity during sleep, indicating insomniacs in general have higher physical arousal and lower sleep homeostasis. This study further aims to explore arousal level and sleep homeostasis during the period of sleep onset by comparing the level and change of EEG spectrum in primary insomnia patients and normal control subjects during the process of sleep onset. Methods：30 patients with primary insomnia (10 men, 20women, mean age of 36.7years) and 25 normal sleepers (8 men, 17women, mean age of 34.8years) underwent one night of PSG recording in a sleep laboratory to screening sleep-related breathing disorders and sleep-related movement disorders. They also completed the Pre-sleep Arousal Scale (PSAS) before bedtime. EEG spectrum analyses were conducted for the EEG data collected during the 5 minutes prior to sleep onset and the 15 minutes after. Results：Subjective ratings of both pre-sleep cognitive and somatic arousal were significantly higher in insomnia group (F = 23.950, p < .001; F = 64.235, p < .001) than control group. More WASO (F = 5.510, p = .023), less time and percentage of stage 2 sleep (F = 7.088, p = .010; F = 32.616, p < .001), less percentage of REM sleep (F = 4.810, p = .033), and poor sleep efficiency (F = 8.685, p = .005) were showed in PSG. The EEG spectrum during sleep-onset period showed that insomniacs had higher alpha power in the sleep-wake transition, lower delta power after falling asleep, and higher theta and beta power during sleep-onset period. In terms of the slope of EEG specrtrum change during the period of sleep onset, insomniacs had slower change than normal sleepers in increasing of sleep homeostasis and decreasing of physical arousal. In addition, the correlations between PSAS score and EEG power, cognitive arousal and delta power after falling asleep and theta power in sleep-onset process showed significant positive correlation. Alpha power in the later part of sleep-onset period and beta power around sleep-wake trainsition, on the other hand, showed negative correlations with cognitive arousal. Physcial arousal only showed positive correlation to theta power in sleep-wake trainsition. Conclusions：Patients with primary insomnia showed significantly less and slower increase in sleep homeostatic drive as well as less and slower decrease in EEG arousal during sleep-onset period. Although EEG arousal did showed gradually decreased by time, it still maintianed higher than normal sleepers. Sleep homeostasis did also increase, but may be interfered by the hyperarousal. This may explain the complaints in insomnia patients of difficulty falling asleep, difficulty maintaining sleep, and light sleep.

本研究探討訓練情境中的情緒激發與知覺訓練難度對訓練成效之影響。本研究使用實驗法，採3（情緒激發：正向、負向、無激發）×2（知覺訓練難度：簡單與困難）完全受試者間設計，依變項為受訓者的自我效能、學習動機、訓練有用性與訓練學習結果。受試者為國立政治大學的127名大學生，受試者隨機分派到六種實驗情境之一，在實驗室中依序進行情緒激發作業、訓練作業，最後填寫研究問卷。本研究以變異數分析（ANOVA）與共變數分析（ANCOVA）（控制性別之影響）來檢驗情緒激發與知覺訓練難度對各依變項之影響。研究結果顯示情緒激發與知覺訓練難度之交互作用會影響受訓者的自我效能與學習動機。最後，本研究針對研究結果進行討論、並對研究限制、未來研究方向、理論與實務意涵加以闡述。 / This study focuses on the effect of emotional arousal and perceived training difficulty on training outcomes. A 3 (emotional arousal: positive, negative, control) x 2 (perceived training difficulty: easy, difficult) between-subject experimental design is used. The dependent variables are trainees’ self-efficacy, motivation to learn, utility judgment and learning outcome. Subjects (N=127) were randomly assigned to one of the six experimental situations and completed the emotional arousal task, training task, and research questionnaire in order. The researcher uses ANOVA and ANCOVA (controlling the gender effect) to examine the influence of emotional arousal and perceived training difficulty on each dependent variable separately. The results of the present study indicate that trainees’ self-efficacy and motivation to learn can be influenced by the interaction of emotion arousal and perceived training difficulty. At last, the results, limitation, further research directions and implications are discussed.