辽宁师范大学学报（社会科学版）
遼寧師範大學學報（社會科學版）
료녕사범대학학보（사회과학판）
JOURNAL OF LIAONING NORMAL UNIVERSITY(SOCIAL SCIENCE EDITION)
2014年
4期
515-520
,共6页
肖艳丽%杨文%蒋重清%吴琦
肖豔麗%楊文%蔣重清%吳琦
초염려%양문%장중청%오기
情绪%性别%面孔%单字词
情緒%性彆%麵孔%單字詞
정서%성별%면공%단자사
emotion%gender%expression%single word
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。
目的：收集整理一套集情緒信息與性彆信息于一體的標準化實驗材料，從而更精細地研究情緒信息、性彆信息（語義信息）加工及二者的交互作用。方法：通過方便取樣選取40名研究生，對從網絡收集和由Facegen modller 3．5軟件製作併統一處理後的401張情緒和性彆信息均明確以及二者信息均模糊的麵孔圖片，在男、女、積極、消極、吸引註意的程度、喚醒程度六箇信息特徵上用七點量錶進行評分；對97箇具有情緒意義或性彆意義的共四類單字分彆在積極、消極、男、女意義特徵上用七點量錶進行評分。結果：該材料庫中最後有255張麵孔圖片的情緒信息和性彆信息的彊彊特徵無差異（p＞0．05），弱弱特徵無差異（p＞0．05），彊弱特徵差異顯著（ p＜0．05）；在筆畫數和字頻平衡後，男、女、積極、消極意義共四類92箇字的彊特徵值和弱特徵值與4進行的單樣本 t檢驗結果為，彊特徵 t（91）＝83．127，p＞0．001，弱特徵t（91）＝-96．124，p＞0．001。結論：嚴格量化匹配瞭情緒信息和性彆（語義）信息的麵孔圖片，充實瞭可用于錶情加工、性彆認知、麵孔識彆等研究領域的圖片庫，其研製思路對于情緒與認知的關繫研究亦會有所啟示。
목적：수집정리일투집정서신식여성별신식우일체적표준화실험재료，종이경정세지연구정서신식、성별신식（어의신식）가공급이자적교호작용。방법：통과방편취양선취40명연구생，대종망락수집화유Facegen modller 3．5연건제작병통일처리후적401장정서화성별신식균명학이급이자신식균모호적면공도편，재남、녀、적겁、소겁、흡인주의적정도、환성정도륙개신식특정상용칠점량표진행평분；대97개구유정서의의혹성별의의적공사류단자분별재적겁、소겁、남、녀의의특정상용칠점량표진행평분。결과：해재료고중최후유255장면공도편적정서신식화성별신식적강강특정무차이（p＞0．05），약약특정무차이（p＞0．05），강약특정차이현저（ p＜0．05）；재필화수화자빈평형후，남、녀、적겁、소겁의의공사류92개자적강특정치화약특정치여4진행적단양본 t검험결과위，강특정 t（91）＝83．127，p＞0．001，약특정t（91）＝-96．124，p＞0．001。결론：엄격양화필배료정서신식화성별（어의）신식적면공도편，충실료가용우표정가공、성별인지、면공식별등연구영역적도편고，기연제사로대우정서여인지적관계연구역회유소계시。
Objective :To study emotional information processing ,gender information processing and the in-teractive effect of the two factors more precisely ,this study collected up a set of standardized experimental materials that combined the emotional information and gender information .Methods :Facial expression pic-ture including clear emotional information and gender information were collected from internet ,while using Facegen modller 3 .5 to make neutral face pictures ;40 graduate students were selected by convenience sam-pling ;the study assessed all the processed pictures in the male and female ,positive and negative ,arousal and the level of attractive attention with a 7-point scale .It also assessed the male/female ,positive/nega-tive ,arousal ,the level of attractive attention with a 7-point scale after finding 97 one-character words with emotional significance and gender significance in “Modern Chinese Dictionary”,Results :The database con-tain 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 weak feature(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 with 4 ,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 infor-mation strictly ,w hich 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 .
