Literature DB >> 30452304

Use of Face Information Varies Systematically From Developmental Prosopagnosics to Super-Recognizers.

Jessica Tardif1, Xavier Morin Duchesne2, Sarah Cohan3, Jessica Royer4, Caroline Blais4, Daniel Fiset4, Brad Duchaine5, Frédéric Gosselin1.   

Abstract

Face-recognition abilities differ largely in the neurologically typical population. We examined how the use of information varies with face-recognition ability from developmental prosopagnosics to super-recognizers. Specifically, we investigated the use of facial features at different spatial scales in 112 individuals, including 5 developmental prosopagnosics and 8 super-recognizers, during an online famous-face-identification task using the bubbles method. We discovered that viewing of the eyes and mouth to identify faces at relatively high spatial frequencies is strongly correlated with face-recognition ability, evaluated from two independent measures. We also showed that the abilities of developmental prosopagnosics and super-recognizers are explained by a model that predicts face-recognition ability from the use of information built solely from participants with intermediate face-recognition abilities ( n = 99). This supports the hypothesis that the use of information varies quantitatively from developmental prosopagnosics to super-recognizers as a function of face-recognition ability.

Entities:  

Keywords:  developmental prosopagnosia; face perception; individual differences; super-recognizers; visual perception

Mesh:

Year:  2018        PMID: 30452304     DOI: 10.1177/0956797618811338

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  9 in total

1.  FFA and OFA Encode Distinct Types of Face Identity Information.

Authors:  Maria Tsantani; Nikolaus Kriegeskorte; Katherine Storrs; Adrian Lloyd Williams; Carolyn McGettigan; Lúcia Garrido
Journal:  J Neurosci       Date:  2021-01-15       Impact factor: 6.167

2.  Face perception: A brief journey through recent discoveries and current directions.

Authors:  Ipek Oruc; Benjamin Balas; Michael S Landy
Journal:  Vision Res       Date:  2019-06-14       Impact factor: 1.886

3.  Medial prefrontal and occipito-temporal activity at encoding determines enhanced recognition of threatening faces after 1.5 years.

Authors:  Xiqin Liu; Xinqi Zhou; Yixu Zeng; Jialin Li; Weihua Zhao; Lei Xu; Xiaoxiao Zheng; Meina Fu; Shuxia Yao; Carlo V Cannistraci; Keith M Kendrick; Benjamin Becker
Journal:  Brain Struct Funct       Date:  2022-02-16       Impact factor: 3.270

4.  UNSW Face Test: A screening tool for super-recognizers.

Authors:  James D Dunn; Stephanie Summersby; Alice Towler; Josh P Davis; David White
Journal:  PLoS One       Date:  2020-11-16       Impact factor: 3.240

Review 5.  The Face of Image Reconstruction: Progress, Pitfalls, Prospects.

Authors:  Adrian Nestor; Andy C H Lee; David C Plaut; Marlene Behrmann
Journal:  Trends Cogn Sci       Date:  2020-07-13       Impact factor: 20.229

6.  A relationship between Autism-Spectrum Quotient and face viewing behavior in 98 participants.

Authors:  Kira Wegner-Clemens; Johannes Rennig; Michael S Beauchamp
Journal:  PLoS One       Date:  2020-04-30       Impact factor: 3.240

7.  Psychophysical profiles in super-recognizers.

Authors:  Jeffrey D Nador; Matteo Zoia; Matthew V Pachai; Meike Ramon
Journal:  Sci Rep       Date:  2021-06-23       Impact factor: 4.379

8.  Face processing in police service: the relationship between laboratory-based assessment of face processing abilities and performance in a real-world identity matching task.

Authors:  Markus M Thielgen; Stefan Schade; Carolin Bosé
Journal:  Cogn Res Princ Implic       Date:  2021-08-05

9.  Face individual identity recognition: a potential endophenotype in autism.

Authors:  Ilaria Minio-Paluello; Giuseppina Porciello; Alvaro Pascual-Leone; Simon Baron-Cohen
Journal:  Mol Autism       Date:  2020-10-21       Impact factor: 7.509

  9 in total

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