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
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