Effects of Spatial Frequency Content on Classification of Face Gender and Expression

  1. Aguado Aguilar, Luis 1
  2. Serrano Pedraza, Ignacio 2
  3. Rodríguez Fernández, Sonia 1
  4. Román González, Francisco Javier 1
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 Newcastle University
    info

    Newcastle University

    Newcastle-upon-Tyne, Reino Unido

    ROR https://ror.org/01kj2bm70

Aldizkaria:
The Spanish Journal of Psychology

ISSN: 1138-7416

Argitalpen urtea: 2010

Alea: 13

Zenbakia: 2

Orrialdeak: 525-537

Mota: Artikulua

DOI: 10.1017/S1138741600002225 DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: The Spanish Journal of Psychology

Garapen Iraunkorreko Helburuak

Laburpena

The role of different spatial frequency bands on face gender and expression categorization was studied in three experiments. Accuracy and reaction time were measured for unfiltered, low-pass (cut-off frequency of 1 cycle/deg) and high-pass (cut-off frequency of 3 cycles/deg) filtered faces. Filtered and unfiltered faces were equated in root-mean-squared contrast. For low-pass filtered faces reaction times were higher than unfiltered and high-pass filtered faces in both categorization tasks. In the expression task, these results were obtained with expressive faces presented in isolation (Experiment 1) and also with neutral-expressive dynamic sequences where each expressive face was preceded by a briefly presented neutral version of the same face (Experiment 2). For high-pass filtered faces different effects were observed on gender and expression categorization. While both speed and accuracy of gender categorization were reduced comparing to unfiltered faces, the efficiency of expression classification remained similar. Finally, we found no differences between expressive and non expressive faces in the effects of spatial frequency filtering on gender categorization (Experiment 3). These results show a common role of information from the high spatial frequency band in the categorization of face gender and expression.

Finantzaketari buruzko informazioa

This work was supported by Project SEJ2006-01576/PSIC, from the Spanish Ministerio de Ciencia y Tecnología. Correspondence concerning this article should be addressed to Luis Aguado. Facultad de Psicología. Campus de Somosaguas. 28223 Madrid. (Spain). Phone:+34-913943161. E-mail: laguado@psi.ucm.es

Erreferentzia bibliografikoak

  • Aguado, L., Garcia-Gutierrez, A., & Serrano-Pedraza, I. (2009). Symmetrical interaction of sex and expression in face classification tasks. Attention, Perception & Psychophysics, 71, 9-25.
  • Arcuril, L., Castelli, S., Boca, F., Lorenzi-Cioldi, F., & Dafflon, A. (2001). Fuzzy gender categories: How emotional expression influences typicality. Swiss Journal of Psychology, 60, 179-191.
  • Atkinson, A. P., Tipples, J., Burt, D. M., & Young, A. W. (2005). Asymetrie interference between sex and emotion in face perception. Perception and Psychophysics, 67, 1199-1213.
  • Bachmann, T. (1991). Identification of spatially quantised tachistoscopic images of faces: How many pixels does it take to carry identity? European Journal of Cognitive Psychology, 5, 85-103.
  • Brown, E., & Perret; D. I. (1993). What gives a face its gender? Perception, 22, 829-840
  • Bruce, V., & Young, A. (1986). Understanding face recognition. British Journal of Psychology, 77, 305-327.
  • Calder, A. J., & Young, A. W (2005). Understanding the recognition of facial identity and facial expression. Nature Reviews Neuroscience, 6, 641-651.
  • Deruelle, C., & Fagot, I. (2005). Categorizing facial identities, emotions, and genders: Attention to high- and low-spatial frequencies by children and adults. Journal of Experimental Child Psychology, 90, 172-184.
  • Deruelle, C., Rondan, C., Salle-Collemiche, X., Bastard-Rosset, & D., Da Fonseca, D. (2008). Attention to low- and highspatial frequencies in categorizing facial identities, emotions and gender in children with autism. Brain and Cognition, 66, 115-123.
  • Ekman, P., & Friesen, W. V. (1978). Facial action coding system. Palo Alto: Consulting Psychologists Press.
  • Ellison, J. W., & Massaro, D. W. (1997). Featural evaluation, integration, and judgment of facial affect. Journal of Experimental Psychology: Human Perception and Performance, 23, 213-226.
  • Costen, N. P., Parker, D. M., & Craw, I. (1996). Effects of highpass and low-pass spatial filtering on face identification. Perception & Psychophysics, 58, 602-612.
  • Fiorentini, A., Maffei, L., & Sandini, G. (1983). The role of high spatial frequencies in face perception. Perception, 12, 195-201.
  • Goffaux, V., Jemel, B., Rossion, J., & Schyns, P. (2003). ERP evidence for task modulations on face perceptual processing at different spatial scales. Cognitive Science, 27, 313-325.
  • González R. C., & Wintz P. (1987) Digital image processing (2nd edition) Reading, MA: Addison-Wesley.
  • Hall, J. A. (1978). Gender effects in decoding nonverbal cues. Psychological Bulletin, 85, 845-857.
  • Haxby, J. V., Hoffman, E. A., & Gobbini, M. I. (2000). The distributed human neural system for face perception. Trends in Cognitive Sciences, 4, 223-233.
  • Holmes, A., Green, S., & Vuilleumier, P. (2005). The involvement of distinct visual channels in rapid attention towards fearful facial expressions. Cognition & Emotion, 19, 899-922.
  • Le Gal. P. M., & Bruce, V. (2002). Evaluating the independence of sex and expression in judgement of faces. Perception & Psychophyisics, 64, 230-243.
  • Lundqvist, D., & Litton, J. E. (1998). The Averaged Karolinska Directed Emotional Faces. AKDEF, CD ROM from Department of Clinical Neuroscience, Psychology Section, Karolinska Institutet, ISBN 91-630-7164-9.
  • Morrison, D. J., & Schyns, P. G. (2001). Usage of spatial scales for the categorization of faces, objects, and scenes. Psychonomic Bulletin & Review, 8, 454-469.
  • Näsänen, R. (1999). Spatial frequency bandwidth used in the recognition of facial images. Vision Research, 39, 3824-3833.
  • O'Toole, A Roark, D., & Abdi, H. (2002). Recognizing moving faces: a psychological and neural synthesis. Trends in Cognitive Sciences, 6, 261-266.
  • Penton-Voak, I., Allen, T., Morrison, E., Gralewski, L. & Campbell, N. (2007). Performance on a face perception task is associated with empathy quotient scores, but not systemizing scores or participant sex. Personality and Individual Differences, 43, 2229-2236.
  • Rotter, N., & Rotter, G. (1988). Sex differences in the encoding and decoding of negative facial emotions, Journal of Nonverbal Behavior, 12, 139-148.
  • Ruiz-Soler, M., & Beltrán, F. (2006). Face perception: An integrative review of the role of spatial frequencies. Psychological Research, 70, 273-292.
  • Sato, W., Kochiyama, T., Yoshikawa, S., Naito, E., & Matsumura, M. (2004). Enhanced neural activity in response to dynamic facial expressions of emotion: An fMRI study. Cognitive Brain Research, 20, 81-91.
  • Schyns, P., & Oliva, A. (1999). Dr. Angry and Mr. Smile: when categorization flexible modifies the perception of faces in rapid visual presentations. Cognition, 69, 243-265.
  • Sierra-Vázquez, V., Serrano-Pedraza, I., & Luna, D. (2006). The effect of spatial-frequency filtering on the visual processing of global structure. Perception, 35, 1583-1609.
  • Stromeyer, C. F., & Julesz, B. (1972). Spatial-frequency masking in vision: critical bands and spread of masking. Journal of the Optical Society of America, 62, 1221-1232.
  • Vuilleumier, P., Armony, J., Driver, J., & Dolan, R. (2003). Distinct spatial frequency sensitivities for processing faces and emotional expressions. Nature Neuroscience, 6, 624-631.
  • Yoshikawa, S., & Sato, W. (2008). Dynamic facial expressions of emotion induce representational momentum. Cognitive, Affective, & Behavioral Neuroscience, 8, 25-31.