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The perception of face gender: The role of stimulus structure in recognition and classification

  • Published: January 1998
  • Volume��26,��pages 146–160, (1998)
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Memory & Cognition Aims and scope Submit manuscript
The perception of face gender: The role of stimulus structure in recognition and classification
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  • Alice J. O’Toole1,
  • Kenneth A. Deffenbacher2,
  • Dominique Valentin1,
  • Karen McKee1,
  • David Huff1 &
  • …
  • Hervé Abdi1 
  • 7005 Accesses

  • 184 Citations

  • 3 Altmetric

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Abstract

The perception of face gender was examined in the context of extending “face space” models of human face representations to include the perceptual categories defined by male and female faces. We collected data on the recognizability, gender classifiability (reaction time to classify a face as male/female), attractiveness, and masculinity/femininity of individual male and female faces. Factor analyses applied separately to the data for male and female faces yielded the following results. First, for both male and female faces, the recognizability and gender classifiability of faces were independent—a result inconsistent with the hypothesis that both recognizability and gender classifiability depend on a face’s “distance” from the subcategory gender prototype. Instead, caricatured aspects of gender (femininity/masculinity ratings) related to the gender classifiability of the faces. Second, facial attractiveness related inversely to face recognizability for male, but not for female, faces—a result that resolves inconsistencies in previous studies. Third, attractiveness and femininity for female faces were nearly equivalent, but attractiveness and masculinity for male faces were not equivalent. Finally, we applied principal component analysis to the pixel-coded face images with the aim of extracting measures related to the gender classifiability and recognizability of individual faces. We incorporated these model-derived measures into the factor analysis with the human rating and performance measures.

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References

  • Abdi, H. (1994). A neural network primer.Journal of Biological Systems,2, 247–281.

    Article  Google Scholar 

  • Abdi, H., Valentin, D., Edelman, B., &O’Toole, A. J. (1995). More about the difference between men and women: Evidence from linear neural networks and the principal component approach.Perception,24, 539–562.

    Article  PubMed  Google Scholar 

  • Alley, T. R., &Cunningham, M. R. (1991). Averaged faces are attractive, but very attractive faces are not average.Psychological Science.2, 123–125.

    Article  Google Scholar 

  • Brown, E., &Perrett, D. I. (1993). What gives a face its gender?Perception,22, 829–840.

    Article  PubMed  Google Scholar 

  • Bruce, V., Burton, A. M., Dench, N., Hanna, E., Healey, P., Mason, O., Coombes, A., Fright, R., &Linney, A. (1993). Sex discrimination: How do we tell the difference between male and female faces?Perception,22, 131–152.

    Article  PubMed  Google Scholar 

  • Bruce, V., Ellis, H., Gibling, F., &Young, A. (1987). Parallel processing of the gender and familiarity of faces.Canadian Journal of Psychology,41, 510–520.

    PubMed  Google Scholar 

  • Bruce, V., &Langton, S. (1994). The use of pigmentation and shading information in recognising the sex and identities of faces.Perception,23, 803–822.

    Article  PubMed  Google Scholar 

  • Bruce, V., &Young, A. W. (1986). Understanding face recognition.British Journal of Psychology,77, 305–327.

    PubMed  Google Scholar 

  • Burton, A. M., Bruce, V., &Dench, N. (1993). What’s the difference between men and women? Evidence from facial measurement.Perception,22, 153–176.

    Article  PubMed  Google Scholar 

  • Chronicle, E. P., Chan, M., Hawkings, C., Mason, K., Smethurst, K., Stallybrass, K., Westrope, K., &Wright, K. (1995). You can tell by the nose—Judging sex from an isolated facial feature.Perception,24, 969–973.

    Article  PubMed  Google Scholar 

  • Cottrell, G. W., &Fleming, M. K. (1990). Face recognition using unsupervised feature extraction. InProceedings of the International Conference on Neural Networks (pp 322–325). Dordrecht: Kluwer.

    Google Scholar 

  • Enlow, D. (1982).Handbook of facial growth. Philadelphia: W. H. Saunders.

    Google Scholar 

  • Goldstein, A. G., &Chance, J. E. (1980). Memory for faces and schema theory.Journal of Psychology,105, 47–59.

    Article  Google Scholar 

  • Golomb, B. A., Lawrence, D. T., &Sejnowski, T. J. (1991). SEXnet: A neural network identifies sex from human faces. In R. P. Lippmann, J. Moody, & D. S. Touretsky (Eds.),Advances in neural information processing systems 3 (pp 572–577). San Mateo, CA: Morgan Kaufmann.

    Google Scholar 

  • Gray, M. S., Lawrence, D. T., Golomb, B. A., &Sejnowski, T. J. (1995). A perceptron reveals the face of gender.Neural Computation,7, 1160–1164.

    Article  PubMed  Google Scholar 

  • Hancock, P. J. B., Burton, A. M., &Bruce, V. (1996). Face processing: Human perception and principal components analysis.Memory & Cognition,24, 26–40.

    Article  Google Scholar 

  • Kshirsagar, A. M. (1972).Multivariate analysis. New York: Marcel Dekker.

    Google Scholar 

  • Langlois, J. H., &Roggman, L. A. (1990). Attractive faces are only average.Psychological Science,1, 115–121.

    Article  Google Scholar 

  • Langlois, J. H., Roggman, L. A., &Mussleman, L. (1994). What is average and what is not average about attractive faces?Psychological Science,5, 214–220.

    Article  Google Scholar 

  • Langlois, J. H., Roggman, L. A., Mussleman, L., &Acton, S. (1991). A picture is worth a thousand words: A reply to “On the difficulty of averaging faces.”Psychological Science,2, 354–357.

    Article  Google Scholar 

  • Light, L. L., Hollander, S., &Kayra-Stuart, F. (1981). Why attractive people are harder to remember.Personality & Social Psychology,7, 269–276.

    Article  Google Scholar 

  • Light, L. L., Kayra-Stuart, F., &Hollander, S. (1979). Recognition memory for typical and unusual faces.Journal of Experimental Psychology: Human Memory & Learning,5, 212–228.

    Article  Google Scholar 

  • Morton, J., &Johnson, M. H. (1991). CONSPEC and CONLERN: A two-process theory of infant face recognition.Psychological Review,98, 164–181.

    Article  PubMed  Google Scholar 

  • Nunnally, J. C. (1978).Psychometric theory (2nd ed.). New York: McGraw-Hill.

    Google Scholar 

  • O’Toole, A. J., Abdi, H., Deffenbacher, K. A., &Valentin, D. (1993). Low-dimensional representation of faces in higher dimensions of the face space.Journal of the Optical Society of America A,10, 405–410.

    Article  Google Scholar 

  • O’Toole, A. J., Abdi, H., Deffenbacher, K. A., &Valentin, D. (1995). A perceptual learning theory of the information in faces. In T. Valentine (Ed.),Cognitive and computational aspects of face recognition (pp 159–182). London: Routledge.

    Google Scholar 

  • O’Toole, A. J., Deffenbacher, K. A., Valentin, D., &Abdi, H. (1994). Structural aspects of face recognition and the other-race effect.Memory & Cognition,22, 208–224.

    Google Scholar 

  • O’Toole, A. J., Peterson, J., &Deffenbacher, K. A. (1996). An other-race effect for categorizing faces by sex.Perception,25, 669–676.

    Article  PubMed  Google Scholar 

  • O’Toole, A. J., Vetter, T., Troje, N. F., &Bülthoff, H. H. (1997). Sex classification is better with three-dimensional structure than with image intensity information.Perception,26, 75–84.

    Article  PubMed  Google Scholar 

  • Perrett, D. I., May, K. A., &Yoshikawa, S. (1994). Facial shape and judgements of female attractiveness.Nature,368, 239–242.

    Article  PubMed  Google Scholar 

  • Pittenger, J. B. (1991). On the difficulty of averaging faces.Psychological Science,2, 351–353.

    Article  Google Scholar 

  • Rhodes, G. (1988). Looking at faces: First-order and second-order features as determinants of facial appearance.Perception,17, 43–63.

    Article  PubMed  Google Scholar 

  • Roberts, T., &Bruce, V. (1988). Feature saliency in judging the sex and familiarity of faces.Perception,17, 475–481.

    Article  PubMed  Google Scholar 

  • Rowland, D. A., &Perrett, D. I. (1995). Manipulating facial appearance through shape and color.IEEE Transactions on Computer Graphics & Applications,15, 70–76.

    Article  Google Scholar 

  • Shepherd, J. W. (1981). Social factors in face recognition. In G. M. Davies, H. D. Ellis, & J. W. Shepherd (Eds.),Perceiving and remembering faces (pp 55–79). London: Academic Press.

    Google Scholar 

  • Shepherd, J. W., &Ellis, H. D. (1973). The effect of attractiveness on recognition memory for faces.American Journal of Psychology,86, 627–633.

    Article  PubMed  Google Scholar 

  • Sirovich, L., &Kirby, M. (1987). Low-dimensional procedure for the characterization of human faces.Journal of the Optical Society of America A,3, 519–524.

    Article  Google Scholar 

  • Snodgrass, J. G., &Corwin, J. (1988). Pragmatics of recognition memory: Applications to dementia and amnesia.Journal of Experimental Psychology: General,117, 34–50.

    Article  Google Scholar 

  • Turk, M., &Pentland, A. (1991). Eigenfaces for recognition.Journal of Cognitive Neuroscience,3, 71–86.

    Article  Google Scholar 

  • Valentin, D., Abdi, H., & O’Toole, A. J. (in press). Principal component and neural network analysis of face images: Explorations into the nature of information available for classifying faces by gender.Journal of Mathematical Psychology.

  • Valentine, T. (1991). A unified account of the effects of distinctiveness, inversion, and race on face recognition.Quarterly Journal of Experimental Psychology,43A, 161–204.

    Google Scholar 

  • Valentine, T., &Bruce, V. (1986). Recognizing familiar faces: The role of distinctiveness and familiarity.Canadian Journal of Psychology,40, 300–305.

    PubMed  Google Scholar 

  • Vokey, J. R., &Read, J. D. (1992). Familiarity, memorability, and the effect of typicality on the recognition of faces.Memory & Cognition,20, 291–302.

    Article  Google Scholar 

  • Yamaguchi, M. K., Hirukawa, T., &Kanazawa, S. (1995). Judgment of gender through facial parts.Perception,24, 563–575.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. School of Human Development, GR4.1, University of Texas at Dallas, 75083-0688, Richardson, TX

    Alice J. O’Toole, Dominique Valentin, Karen McKee, David Huff��& Hervé Abdi

  2. University of Nebraska, Omaha, Nebraska

    Kenneth A. Deffenbacher

Authors
  1. Alice J. O’Toole
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  2. Kenneth A. Deffenbacher
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  3. Dominique Valentin
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  4. Karen McKee
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  5. David Huff
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  6. Hervé Abdi
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Corresponding author

Correspondence to Alice J. O’Toole.

Additional information

This combined analysis indicated that face recognizability is related to the distinctiveness of a face with respect to its gender subcategory prototype. Additionally, the gender classifiability of faces related to at least one caricatured aspect of face gender. This work was supported in part by NIMH Grant MH51765-02 to A.J.O. Thanks are due to June Chance and Al Goldstein for providing the faces used in the present experiments and simulations and to James C. Bartlett, Shimon Edelman, Heinrich H. Bülthoff, George Wolford, and two anonymous reviewers for very helpful comments and suggestions on an earlier version of this manuscript.

—Accepted by previous editor, Geoffrey R. Loftus

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O’Toole, A.J., Deffenbacher, K.A., Valentin, D. et al. The perception of face gender: The role of stimulus structure in recognition and classification. Memory & Cognition 26, 146–160 (1998). https://doi.org/10.3758/BF03211378

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  • Received: 17 July 1996

  • Accepted: 19 November 1996

  • Issue date: January 1998

  • DOI: https://doi.org/10.3758/BF03211378

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Keywords

  • Face Image
  • False Alarm Rate
  • Face Space
  • Male Face
  • Female Face

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