對於不同色彩與形狀的刺激生理反應基礎研究

Color Response analysis by EEG and Visual Evoked Potential

蔡鐘毅(Chung-Yi Tsai)

指導教授 ： 羅書宜 ； 張剛鳴

亞洲大學/創意設計學院/數位媒體設計學系碩士班/碩士(2011年)

摘要

色彩與形狀在日常生活中扮演極重要的角色。色彩是人類在視覺神經系統中神經反應的結果，而神經反應的過程可由人類腦波中了解其活動情形。又形狀與尺寸之於色彩而言，形狀與尺寸影響著人類觀看一物件之尺寸定義與形之感受，三者的存在與關係密切且相互影響。遂本研究從生理(腦波)的角度探討人類在觀看不同色彩與形狀組合與尺寸之視覺刺激下之腦波反應情形。研究結果顯示：(1)不同的色彩(R、G、B)與不同形狀(棋盤、橫格、同心圓)與形狀尺寸在大腦四個波段(N1、P1、N2、P2)的潛伏時間呈現顯著差異。推論造成差異的原因可能跟色彩的注意力(代表波段N2、P2)跟認知(代表波段N1、P1)有關。 (2) 不同的圖形色彩在腦波上有明顯的差異：當觀看棋盤形時，其腦波反應為紅>藍>綠；橫格形則紅>綠>藍；同心圓則為藍>綠>紅。

關鍵字

色彩 ； 形狀 ； 腦波

並列摘要

The color, shape and size are main factors to people to define an object in daily life.The color of an object depends on both the physics of the object in its environment and the characteristics of the perceiving eye and brain. The colors result from neural responses in human’s visual neural systems, whose process and activities can be understood through human electroencephalogram (EEG). In terms of patterns, human perception of colors is influenced by patterns and sizes; patterns, colors and sizes bear close relations and interact with each other. Therefore, this study explored the reaction of EEG to visual stimuli aroused when people perceive combinations of different colors,patterns and sizes. The study results indicated that: (1) Different colors (R, G, B), different patterns (checkerboard, horizontal stripes, and concentric circles) and different size has significant effects on four peaks of EEG (N1、N2 latency and P1、P2 amplitude).(2) There has significant differences in EEG with higher P2 amplitude response of checkerboard and horizontal stripes by red color than the other two colors (checkerboard: red > blue > green; horizontal stripes: red > green > blue); for concentric circles, there was higher P2 amplitude response by blue color than green, the lowest was red color (blue > green> red).

並列關鍵字

color ； pattern ； EEG(electroencephalogram)

參考文獻

[28] 洪聰敏，1998，腦波:探討運動及身體活動心理學的另一扇視窗，中華體育，第四十四期，p.63-74

[15] 張寅，色彩視覺的生理學補充觀點，應用心理研究，6期，p.11

[20] Gevins , A., (1997).Hans Berger was right: What I have learned about thinking from the EEG in the past twenty years. electroencephalography and clinical neurophysiology, 98: 5-6.

[24] Polich, J., (1987).Task difficulty probability and inter-stimulus interval as determinants of P300 from auditory stimuli. electroencephalography and clinical neurophysiology, 68: 311-20.

[25] Kutas, M., McCarthy, G., Donchin, E., (1977). Augmenting mental chronometry: the P300 as a measure of stimulus evaluation. Science, 197: 792-795.