How Well Do Computer-Generated Faces Tap Face Expertise?

The use of computer-generated (CG) stimuli in face processing research is proliferating due to the ease with which faces can be generated, standardised and manipulated. However there has been surprisingly little research into whether CG faces are processed in the same way as photographs of real faces. The present study assessed how well CG faces tap face identity expertise by investigating whether two indicators of face expertise are reduced for CG faces when compared to face photographs. These indicators were accuracy for identification of own-race faces and the other-race effect (ORE)–the well-established finding that own-race faces are recognised more accurately than other-race faces. In Experiment 1 Caucasian and Asian participants completed a recognition memory task for own- and other-race real and CG faces. Overall accuracy for own-race faces was dramatically reduced for CG compared to real faces and the ORE was significantly and substantially attenuated for CG faces. Experiment 2 investigated perceptual discrimination for own- and other-race real and CG faces with Caucasian and Asian participants. Here again, accuracy for own-race faces was significantly reduced for CG compared to real faces. However the ORE was not affected by format. Together these results signal that CG faces of the type tested here do not fully tap face expertise. Technological advancement may, in the future, produce CG faces that are equivalent to real photographs. Until then caution is advised when interpreting results obtained using CG faces.

[1]  B. Balas,et al.  Visual adaptation of the perception of “life”: Animacy is a basic perceptual dimension of faces , 2013, Psychonomic bulletin & review.

[2]  Bruno Rossion,et al.  An Experience-Based Holistic Account of the Other-Race Face Effect , 2011 .

[3]  K. Nakayama,et al.  Where cognitive development and aging meet: Face learning ability peaks after age 30 , 2011, Cognition.

[4]  B. Duchaine,et al.  Intranasal inhalation of oxytocin improves face processing in developmental prosopagnosia , 2014, Cortex.

[5]  E. Kandel,et al.  Proceedings of the National Academy of Sciences of the United States of America. Annual subject and author indexes. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[6]  G. Rhodes,et al.  An own-race advantage for components as well as configurations in face recognition , 2008, Cognition.

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

[8]  Vicki Bruce,et al.  Recognising Facial Surfaces , 1991, Perception.

[9]  A computer-generated face database with ratings on realism, masculinity, race, and stereotypy , 2011, Behavior research methods.

[10]  J. S. Guntupalli,et al.  Multivoxel patterns in face-sensitive temporal regions reveal an encoding schema based on detecting life in a face. , 2013, Social cognitive and affective neuroscience.

[11]  Thomas Vetter,et al.  Three-dimensional shape and two-dimensional surface reflectance contributions to face recognition: an application of three-dimensional morphing , 1999, Vision Research.

[12]  Gary D. Bird,et al.  The role of eye movements in decision making and the prospect of exposure effects , 2012, Vision Research.

[13]  Matthew Flatt,et al.  PsyScope: An interactive graphic system for designing and controlling experiments in the psychology laboratory using Macintosh computers , 1993 .

[14]  Ahmed M. Megreya,et al.  The Other-Race Effect does not Rely on Memory: Evidence from a Matching Task , 2011, Quarterly journal of experimental psychology.

[15]  Neil A. Macmillan,et al.  Detection Theory: A User's Guide , 1991 .

[16]  N. Kanwisher,et al.  Opinion TRENDS in Cognitive Sciences Vol.11 No.1 Can generic expertise explain special processing for faces? , 2022 .

[17]  G. Rhodes,et al.  Expertise and configural coding in face recognition. , 1989, British journal of psychology.

[18]  Leo Ganz,et al.  Recognition of faces in the presence of two-dimensional sinusoidal masks , 1977 .

[19]  Reginald B. Adams,et al.  Not so black and white: memory for ambiguous group members. , 2009, Journal of personality and social psychology.

[20]  Kurt Hugenberg,et al.  Shared Signal Effects Occur More Strongly for Salient Outgroups than Ingroups , 2013 .

[21]  K. Nakayama,et al.  Holistic face training enhances face processing in developmental prosopagnosia. , 2014, Brain : a journal of neurology.

[22]  Q. Vuong,et al.  The contribution of shape and surface information in the other-race face effect , 2013 .

[23]  Benjamin Balas,et al.  The role of face shape and pigmentation in other-race face perception: An electrophysiological study , 2010, Neuropsychologia.

[24]  Paul Miller,et al.  Verification of face identities from images captured on video. , 1999 .

[25]  H. Matheson,et al.  Second-order relational face processing is applied to faces of different race and photographic contrast. , 2012, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[26]  Stephen D. Goldinger,et al.  A multidimensional scaling analysis of own- and cross-race face spaces , 2010, Cognition.

[27]  T. Wheatley,et al.  The Tipping Point of Animacy , 2010, Psychological science.

[28]  Michael J. Bernstein,et al.  The Cross-Category Effect , 2007, Psychological science.

[29]  R. Yin.  Looking at Upside-down Faces , 1969 .

[30]  Gillian Rhodes,et al.  Contact, configural coding and the other-race effect in face recognition. , 2008, British journal of psychology.

[31]  J. Devlin,et al.  Triple Dissociation of Faces, Bodies, and Objects in Extrastriate Cortex , 2009, Current Biology.

[32]  Karl F. MacDorman,et al.  Too real for comfort? Uncanny responses to computer generated faces , 2009, Comput. Hum. Behav..

[33]  R. Näsänen.  Spatial frequency bandwidth used in the recognition of facial images , 1999, Vision Research.

[34]  Gregory McCarthy,et al.  Perceived animacy influences the processing of human-like surface features in the fusiform gyrus , 2014, Neuropsychologia.

[35]  P. Sinha,et al.  Real-World Face Recognition: The Importance of Surface Reflectance Properties , 2007, Perception.

[36]  Anna Weinberg,et al.  Mind Perception: Real but Not Artificial Faces Sustain Neural Activity beyond the N170/VPP , 2011, PloS one.

[37]  Megan H. Papesh,et al.  Deficits in other-race face recognition: no evidence for encoding-based effects. , 2009, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[38]  I. Craw,et al.  Effects of high-pass and low-pass spatial filtering on face identification , 1996, Perception & psychophysics.

[39]  D. Pitcher,et al.  Acquired prosopagnosia with spared within-class object recognition but impaired recognition of degraded basic-level objects , 2011, Cognitive Neuropsychology.

[40]  Olivier Corneille,et al.  Applying the attractor field model to social cognition: Perceptual discrimination is facilitated, but memory is impaired for faces displaying evaluatively congruent expressions. , 2007, Journal of personality and social psychology.

[41]  D Riley,et al.  Comments on “Recognition of faces in the presence of two-dimensional sinusoidal masks” by Tieger and Ganz , 1980, Perception & psychophysics.

[42]  J. Brigham,et al.  Thirty years of investigating the own-race bias in memory for faces: A meta-analytic review , 2001 .

[43]  G. Rhodes,et al.  Configural Coding, Expertise, and the Right Hemisphere Advantage for Face Recognition , 1993, Brain and Cognition.

[44]  A. Todorov,et al.  The functional basis of face evaluation , 2008, Proceedings of the National Academy of Sciences.

[45]  Benjamin Balas,et al.  Artificial faces are harder to remember , 2015, Comput. Hum. Behav..