• 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