集情绪与性别二维信息于一体的实验材料标准化研究

A Study on Standardization of Experimental Material in One Set of Emotion and Gender

目的:收集整理一套集情绪信息与性别信息于一体的标准化实验材料,从而更精细地研究情绪信息、性别信息(语义信息)加工及二者的交互作用。方法:通过方便取样选取40名研究生,对从网络收集和由Facegen modller 3.5软件制作并统一处理后的401张情绪和性别信息均明确以及二者信息均模糊的面孔图片,在男、女、积极、消极、吸引注意的程度、唤醒程度六个信息特征上用七点量表进行评分;对97个具有情绪意义或性别意义的共四类单字分别在积极、消极、男、女意义特征上用七点量表进行评分。结果:该材料库中最后有255张面孔图片的情绪信息和性别信息的强强特征无差异(p>0.05),弱弱特征无差异(p>0.05),强弱特征差异显著(p<0.05);在笔画数和字频平衡后,男、女、积极、消极意义共四类92个字的强特征值和弱特征值与4进行的单样本t检验结果为,强特征t(91)=83.127,p>0.001,弱特征t(91)=-96.124,p>0.001。结论:严格量化匹配了情绪信息和性别(语义)信息的面孔图片,充实了可用于表情加工、性别认知、面孔识别等研究领域的图片库,其研制思路对于情绪与认知的关系研究亦会有所启示。

Objective： To study emotional information processing, gender information processing and the interactive effect of the two factors more precisely, this study collected up a set of standardized experimentalmaterials that combined the emotional information and gender information. Methods：Facial expression picture including clear emotional information and gender information were collected from internet , while usingFacegen modller 3.5 to make neutral face pictures; 40 graduate students were selected by convenience sampling; the study assessed all the processed pictures in the male and female, positive and negative, arousaland the level of attractive attention with a 7-point scale. It also assessed the male/female, positive/negative, arousal, the level of attractive attention with a 7-point scale after finding 97 one-character words withemotional significance and gender significance in ＂Modern Chinese Dictionary＂, Results：The database contain 255 face pictures with emotional information and semantic information in strong feature or weak fea-ture was identical（p〉0. 05） ; there is no difference between weak and weak feature （p〉0. 05） ; there is significant difference between emotional information and semantic information of strong feature and weakfeature（p〈0.05）. Balanced the number of strokes and word＇s frequency, 92 words total of four categories of the male and female, positive and negative,we tested the strong features and weak features value with4, finding strong features of the t （91）= 83. 127, p〉0. 001, and the weak features of t （91） = -96. 124, p〉 0. 001. Conclusion：The face pictures quantify and match the emotional information and semantic information strictly, which can be used in the research picture bank of emotion processing, gender perception, face recogniton, and it also enlightening the research of relationship between the emotion and the cognition.