General and specific factors in the processing of faces

ABSTRACT The ability to recognize faces varies considerably between individuals, but does performance co‐vary for tests of different aspects of face processing? For 397 participants (of whom the majority were university students) we obtained scores on the Mooney Face Test, Glasgow Face Matching Test (GFMT), Cambridge Face Memory Test (CFMT) and Composite Face Test. Overall performance was significantly correlated for each pair of tests, and we suggest the term f for the factor underlying this pattern of positive correlations. However, there were large variations in the amount of variance shared by individual tests: The GFMT and CFMT are strongly related, whereas the GFMT and the Mooney test tap largely independent abilities. We do not replicate a frequently reported relationship between holistic processing (from the Composite test) and face recognition (from the CFMT)—indeed, holistic processing does not correlate with any of our tests. We report associations of performance with digit ratio and autism‐spectrum quotient (AQ), and from our genome‐wide association study we include a list of suggestive genetic associations with performance on the four face tests, as well as with f.

[1]  Rob Jenkins,et al.  Unfamiliar Face Perception , 2011 .

[2]  N. J. Mackintosh,et al.  IQ and human intelligence , 1998 .

[3]  K. Nakayama,et al.  Super-recognizers: People with extraordinary face recognition ability , 2009, Psychonomic bulletin & review.

[4]  N Foreman,et al.  Correlates of performance on the Gollin and Mooney tests of visual closure. , 1991, The Journal of general psychology.

[5]  J. Haxby,et al.  The distributed human neural system for face perception , 2000, Trends in Cognitive Sciences.

[6]  G. Rhodes,et al.  Autistic traits are linked to reduced adaptive coding of face identity and selectively poorer face recognition in men but not women , 2013, Neuropsychologia.

[7]  W. Revelle,et al.  Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma , 2009 .

[8]  C. M. Mooney Closure as affected by configural clarity and contextual consistency. , 1957, Canadian journal of psychology.

[9]  S. Baron-Cohen,et al.  The Autism-Spectrum Quotient (AQ): Evidence from Asperger Syndrome/High-Functioning Autism, Malesand Females, Scientists and Mathematicians , 2001, Journal of autism and developmental disorders.

[10]  A. Young,et al.  Matching Familiar and Unfamiliar Faces on Internal and External Features , 1985, Perception.

[11]  C. M. Mooney Age in the development of closure ability in children. , 1957, Canadian journal of psychology.

[12]  K. Nakayama,et al.  Human face recognition ability is specific and highly heritable , 2010, Proceedings of the National Academy of Sciences.

[13]  Doris Y. Tsao,et al.  Functional Compartmentalization and Viewpoint Generalization Within the Macaque Face-Processing System , 2010, Science.

[14]  Isabel Gauthier,et al.  A meta-analysis and review of holistic face processing. , 2014, Psychological bulletin.

[15]  Ruosi Wang,et al.  Individual Differences in Holistic Processing Predict Face Recognition Ability , 2012, Psychological science.

[16]  R. Joseph,et al.  Holistic and part-based face recognition in children with autism. , 2003, Journal of child psychology and psychiatry, and allied disciplines.

[17]  Patrick T. Goodbourn,et al.  Do different ‘magnocellular tasks’ probe the same neural substrate? , 2012, Proceedings of the Royal Society B: Biological Sciences.

[18]  B. Rossion The composite face illusion: A whole window into our understanding of holistic face perception , 2013 .

[19]  I. Gauthier,et al.  Face composite effects reveal abnormal face processing in Autism spectrum disorders , 2009, Vision Research.

[20]  Isabel Gauthier,et al.  Reliability of composite-task measurements of holistic face processing , 2015, Behavior research methods.

[21]  Lorna M. Lopez,et al.  Genome-wide association studies establish that human intelligence is highly heritable and polygenic , 2011, Molecular Psychiatry.

[22]  N. Kanwisher,et al.  Neuroscience and Biobehavioral Reviews Face Identity Recognition in Autism Spectrum Disorders: a Review of Behavioral Studies , 2022 .

[23]  Patrick T. Goodbourn,et al.  Genetic association suggests that SMOC1 mediates between prenatal sex hormones and digit ratio , 2012, Human Genetics.

[24]  N. Brewer,et al.  Face recognition performance of individuals with Asperger syndrome on the Cambridge face memory test , 2011, Autism research : official journal of the International Society for Autism Research.

[25]  U. Frith The 38th Sir Frederick Bartlett Lecture Why we need cognitive explanations of autism , 2012, Quarterly journal of experimental psychology.

[26]  Louis Guttman,et al.  A basis for analyzing test-retest reliability , 1945, Psychometrika.

[27]  Isabel Gauthier,et al.  The Vanderbilt holistic face processing test: a short and reliable measure of holistic face processing. , 2014, Journal of vision.

[28]  A. Burton,et al.  The Glasgow Face Matching Test , 2010, Behavior research methods.

[29]  Isabel Gauthier,et al.  Holistic Processing Predicts Face Recognition , 2011, Psychological science.

[30]  Stacey S. Cherny,et al.  Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets , 2011, Human Genetics.

[31]  H. Bülthoff,et al.  Face recognition under varying poses: The role of texture and shape , 1996, Vision Research.

[32]  Ken Nakayama,et al.  Face recognition: a model specific ability , 2014, Front. Hum. Neurosci..

[33]  L. Embree,et al.  Adults' Performance on a Measure of Visual Closure , 1982, Perceptual and motor skills.

[34]  K JainAnil,et al.  Face Recognition Performance , 2012 .

[35]  A. Young,et al.  Configurational Information in Face Perception , 1987, Perception.

[36]  Patrick T. Goodbourn,et al.  An online version of the Mooney Face Test: phenotypic and genetic associations , 2014, Neuropsychologia.

[37]  Patrick T. Goodbourn,et al.  Variants in the 1q21 risk region are associated with a visual endophenotype of autism and schizophrenia , 2014, Genes, brain, and behavior.

[38]  A. Young,et al.  Understanding face recognition. , 1986, British journal of psychology.

[39]  David H. Peterzell,et al.  Spatial frequency tuned covariance channels for red–green and luminance-modulated gratings: psychophysical data from human infants , 2000, Vision Research.

[40]  C. Spearman The Abilities of Man their Nature and Measurement , 2020, Nature.

[41]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[42]  Patrick Cavanagh,et al.  Recovery of 3D volume from 2-tone images of novel objects , 1998, Cognition.

[43]  K. Nakayama,et al.  The Cambridge Face Memory Test: Results for neurologically intact individuals and an investigation of its validity using inverted face stimuli and prosopagnosic participants , 2006, Neuropsychologia.

[44]  H Stanislaw,et al.  Calculation of signal detection theory measures , 1999, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[45]  Robert Plomin,et al.  Genetic specificity of face recognition , 2015, Proceedings of the National Academy of Sciences.

[46]  J T Manning,et al.  The ratio of 2nd to 4th digit length: a predictor of sperm numbers and concentrations of testosterone, luteinizing hormone and oestrogen. , 1998, Human reproduction.

[47]  K. Nakayama,et al.  Please Scroll down for Article Cognitive Neuropsychology Family Resemblance: Ten Family Members with Prosopagnosia and Within-class Object Agnosia , 2022 .

[48]  An index of prenatal steroid exposure predicts adult face perception skills , 2012, Psychonomic bulletin & review.

[49]  Jeremy Wilmer,et al.  Using regression to measure holistic face processing reveals a strong link with face recognition ability , 2013, Cognition.

[50]  L. Gallagher,et al.  Holistic processing of faces as measured by the Thatcher illusion is intact in autism spectrum disorders , 2015, Autism : the international journal of research and practice.

[51]  S. MacDonald,et al.  A Reciprocal Model of Face Recognition and Autistic Traits: Evidence from an Individual Differences Perspective , 2014, PloS one.

[52]  G. Yovel,et al.  Diagnosing prosopagnosia: Effects of ageing, sex, and participant–stimulus ethnic match on the Cambridge Face Memory Test and Cambridge Face Perception Test , 2009, Cognitive neuropsychology.

[53]  Patrick T. Goodbourn,et al.  A population study of binocular function , 2015, Vision Research.

[54]  Ken Nakayama,et al.  Capturing specific abilities as a window into human individuality: The example of face recognition , 2012, Cognitive neuropsychology.

[55]  Allison B Sekuler,et al.  Holistic Processing Is Not Correlated With Face-Identification Accuracy , 2010, Psychological science.

[56]  Mark H. Johnson,et al.  Oxford Handbook of Face Perception , 2011 .

[57]  Jennifer J. Richler,et al.  When intuition fails to align with data: A reply to Rossion (2013) , 2013, Visual cognition.

[58]  I. Deary,et al.  Intelligence and educational achievement , 2007 .

[59]  R Plomin,et al.  Genetics and intelligence differences: five special findings , 2014, Molecular Psychiatry.