DocumentCode :
3082607
Title :
How Facial features influence the difficulty and consistency of judgments for angry and happy facial expressions: an Item Response Theory approach
Author :
Saito, Takako ; Nakamura, Tomoyasu
Author_Institution :
Kyushu Univ., Fukuoka
Volume :
6
fYear :
2006
fDate :
8-11 Oct. 2006
Firstpage :
5221
Lastpage :
5227
Abstract :
We propose a framework to explain the processing of the recognition of angry and happy facial expressions using item response theory (IRT). Without modifying the intensity, natural facial expressions were briefly presented to 72 participants in a categorical judgment experiment. The IRT analysis gave rise to the parameters "difficulty" and "consistency" for the judgment of the expressions. Then the relationship between facial features and these parameters was predicted by multiple regression analysis. The results showed that: (a) the difficulty of the judgments was determined by the "holisticity" of facial features, (b) the consistency of the judgment rose when both the upper and the lower parts of a face contained expressions of anger, and (c) the difficulty and the consistency were mainly affected by the changes of the upper parts of angry faces and lower parts of happy faces.
Keywords :
face recognition; facial features; item response theory; multiple regression analysis; natural facial expressions; Cathode ray tubes; Cybernetics; Face recognition; Facial features; Gray-scale; Principal component analysis; Prototypes; Psychology; Regression analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
Type :
conf
DOI :
10.1109/ICSMC.2006.385137
Filename :
4274746
Link To Document :
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