情緒影片誘發的自律神經反應模式

Patterns of Autonomic Activity Differentiate Emotions Induced by Film Clips

李囿運(You-Yun Lee) ； 謝淑蘭(Shu-Lan Hsieh) ； 翁嘉英(Chia-Ying Weng) ； 孫蒨如(Chien-Ru Sun) ； 梁庚辰(Keng-Chen Liang)

《中華心理學刊》 54卷4期 (2012/12) Pp. 527-560

https://doi.org/10.6129/CJP.20120607

摘要

本研究旨在探討不同情緒感受是否引發特定模式的自律神經反應。一百位正常之年輕實驗參與者於實驗中觀賞引發中性、生氣、難過、驚訝、滿足、噁心、害怕與快樂等八種不同情緒的短片，同時接受自律神經系統生理量測，收集其心電圖、皮膚導電反應、皮膚表面溫度與臉部肌電圖等訊號，並於觀看每部影片後填寫情緒自評量表。單因子變異數分析的結果指出：多數情緒引發之自律神經相關生理指標變化在不同情緒下有顯著的差異。本研究進一步利用主成份分析法分析不同生理指標在各主成份下之權重，藉以找出較具代表性的生理指標，並使用六種樣型識別分析法嘗試區隔並分類不同情緒的自律神經反應模式。實驗分析結果發現在大多數的分類法則中，各種情緒皆能藉由篩選出之生理指標的變化正確的被區分。因此本研究的結果支持不同情緒各自具有特定的自律神經反應模式。

關鍵字

主成份分析 ； 情緒特定性 ； 樣型識別分析法

並列摘要

The present study aimed to investigate whether the response pattern of the autonomic nervous system (ANS) is emotion specific. One hundred young healthy participants viewed film clips that evoked the following emotions: neutral, anger, sad, surprise, content, disgust, fear and amusement. ANS responses were measured through electrocardiogram, skin conductance, finger temperature, and facial electromyography. Following each film clip, participants were asked to self-report their subjective affect. The results of a one-way analysis of variance indicated that the ANS response change is significantly different among the various emotions. ANS-related variables were further analyzed by principal component analysis. Variables with higher weighting in each principal component were selected as emotional indicators. The emotion-specific ANS response patterning was detected by pattern classification analysis, with 6 different classification algorithms tested. The results indicated that the classification rate is higher than the chance level among most of the classification algorithms. The current findings thus support the hypothesis of emotion-specific ANS response patterning.

並列關鍵字

emotion specificity ； pattern classification analysis ； principal component analysis

參考文獻

林泳鋒（2008）：《應用於人臉表情辨識之強健式 主動外觀模型搜尋演算法》。國立中央大學通訊工程研究所，碩士論文。[Lin, Y. F. (2008). A robust active appearance models search algorithm for facial expression recognition. Unpublished master thesis, National Central University, Taoyuan, Taiwan.]

Baldaro, B., Gattacchi, M. W., Codispoti, M., Tuozzi, G., Trombini, G., Bolzani, R., et al. (1996). Modifications of electrogastrographic activity during the viewing of brief film sequences. Perceptual and Motor Skills, 82, 1243-1250.

Bard, P. (1928). A diencephalic mechanism for the expression of rage with special reference to the sympathetic nervous system. American Journal of Physiology, 84, 490-515.

Boiten, F. (1996). Autonomic response patterns during voluntary facial action. Psychophysiology, 33, 123-131.

Brennan, M., Palaniswami, M., & Kamen, P. (2001). Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability? IEEE Transactions on Biomedical Engineering, 48, 1342- 1347.