Upright and inverted unfamiliar face-matching tasks – everything correlates everywhere all at once.

In a key study, Megreya and Burton (Memory & Cognition, 34, 865–876, 2006) argued that identity-matching tasks using unfamiliar faces may not effectively measure general 'real-world' face-processing ability – that is they are "not faces". They observed a high correlation in performance between uprig...

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Publicado en:Memory & Cognition Vol. 53; no. 8; pp. 2556 - 2580
Autores principales: Tree, Jeremy J., Jones, Alex L., Kramer, Robin S. S.
Formato: Artículo
Publicado: Springer Nature Nov2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Upright and inverted unfamiliar face-matching tasks – everything correlates everywhere all at once.
      aug:
        au:
          Tree, Jeremy J.
          Jones, Alex L.
          Kramer, Robin S. S.
        affil:
          https://ror.org/053fq8t95 School of Psychology, Faculty of Medicine, Health and Life Sciences, University of Swansea, SA2 8PP, Swansea, UK
          https://ror.org/03yeq9x20 School of Psychology, Sport Science and Wellbeing, University of Lincoln, Lincoln, UK
      su:
        Recognition (Psychology)
        Task performance
        Emotions
        Paradigms (Social sciences)
        Attention
        Psychometrics
        Memory
        Facial expression
        Cognition
        Statistical correlation
        Cognitive processing speed
        Descriptive statistics
        Research
        Reaction time
        Face perception
      sug:
        subj:
          Recognition (Psychology)
          Task performance
          Emotions
          Paradigms (Social sciences)
          Attention
          Psychometrics
          Memory
          Facial expression
          Cognition
          Statistical correlation
          Cognitive processing speed
          Descriptive statistics
          Research
          Reaction time
          Face perception
      keyword:
        Face inversion effects
        Face matching
        Face processing
        Psychology and Cognitive Sciences Psychology
        Face inversion effects
        Face matching
        Face processing
        Psychology and Cognitive Sciences Psychology
      ab: In a key study, Megreya and Burton (Memory & Cognition, 34, 865–876, 2006) argued that identity-matching tasks using unfamiliar faces may not effectively measure general 'real-world' face-processing ability – that is they are "not faces". They observed a high correlation in performance between upright and inverted unfamiliar face matching, a pattern not seen with familiar faces, which they interpreted as indicating unfamiliar face matching is qualitatively different and largely driven by image-specific factors. However, the authors cautioned that this limitation likely applies only to unfamiliar face-matching tasks for identity rather than other types of face judgements (e.g., emotion). The present study replicates and extends these findings by considering within-subject performance for upright/inverted unfamiliar face matching across various paradigms (sequential/simultaneous presentation or sorting) and face-judgement types (identity or emotion), whilst considering different types of measures (accuracy and reaction time). Our results illustrated high correlations for upright/inverted conditions were universally observed within tasks for both accuracy and reaction times. Subsequent factor analyses indicated that upright and inverted conditions loaded together into task-specific latent variables. These results concur with the conclusions of Megreya and Burton (2006) and extend to both identity and emotion matching tasks – that is such tasks exhibit low construct validity for testing hypotheses about much general 'everyday' face processing. We propose that researchers should carefully consider alignment between their test materials and the theoretical 'constructs' they aim to measure, ensuring more accurate and meaningful interpretations of their results.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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