September 2019
Volume 19, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2019
The Good, the Bad, and the Average: Characterizing the Relationship Between Face and Object Processing Across the Face Recognition Spectrum
Author Affiliations & Notes
  • Christian Gerlach
    Department of Psychology, University of Southern Denmark
  • Rebecca Hendel
    Department of Psychology, University of Copenhagen, Denmark
  • Randi Starrfelt
    Department of Psychology, University of Copenhagen, Denmark
Journal of Vision September 2019, Vol.19, 137. doi:https://doi.org/10.1167/19.10.137
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      Christian Gerlach, Rebecca Hendel, Randi Starrfelt; The Good, the Bad, and the Average: Characterizing the Relationship Between Face and Object Processing Across the Face Recognition Spectrum. Journal of Vision 2019;19(10):137. https://doi.org/10.1167/19.10.137.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Face recognition skills vary considerably both in the normal population and in various clinical groups, and understanding the cognitive mechanisms contributing to this variability is important. We investigated whether: (i) a group of good face recognizers (high performers; HPs) were better than control subjects in face and object recognition, (ii) if any dissociations between face, object, and word processing could be demonstrated in HPs, and (iii) compared the performance of the HPs to a group of poor face recognizers (developmental prosopagnosics; DPs). We found that HPs were significantly better than matched control subjects on tests of both face and object recognition including a reading task, but they did not show a disproportionally larger inversion effects on typical tests of face processing (the CFMT and the CFPT). There was also no evidence of dissociations between face and object processing in the HPs when compared to controls, indicating superior performance across visual domains. In the DP group, however, we found significant dissociations between face and object recognition performance on a group level, indicating that face processing is disproportionally affected. On this basis, we propose that superior face processing in HPs rely on more general cognitive or perceptual processes shared with object processing. Hence, while face processing in DPs seems qualitatively different from the normal population, there is no such difference between average and high performing face recognizers. What underlies superior face processing in HPs might be conceived as a general factor in the visual domain, a VG-factor, akin to the G factor in intelligence.

Acknowledgement: Independent Research Fund Denmark (DFF – 4001-00115) 
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