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Kramer RSS, McIntosh RD. Face matching and self-insight: A Registered Report investigating individual differences in metacognitive sensitivity, efficiency, and bias. Q J Exp Psychol (Hove) 2025; 78:660-671. [PMID: 38679797 PMCID: PMC11905325 DOI: 10.1177/17470218241254209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 04/10/2024] [Accepted: 04/18/2024] [Indexed: 05/01/2024]
Abstract
Deciding whether two face photographs depict the same person or not can be a challenging task, and there are substantial individual differences in face matching ability. Far less is known about differences in metacognitive ability; that is, how well people can estimate the quality of their own face matching judgements. The purpose of this Registered Report was to determine the relationship between first-order performance in a face matching task, and three metacognitive measures: metacognitive sensitivity (the information exploited by metacognition), metacognitive efficiency (the quality of metacognitive processing itself), and metacognitive bias (the overall tendency towards high or low confidence). Participants completed a 200-trial unfamiliar face matching task, providing a second-order (metacognitive) confidence rating after each first-order (cognitive) response. Cognitive performance and metacognitive sensitivity showed a substantial positive association (rs = .60), suggesting that they were based on overlapping information, with poorer performers having lower quality information available. Once these differences in the information available to metacognition were accounted for, the quality of metacognitive processing itself (metacognitive efficiency) did not vary systematically with cognitive performance (rs = .00). Moreover, poor performers were not less or more confident overall than good performers, as cognitive performance and metacognitive bias did not correlate significantly (rs = .11). These findings allow us to move beyond consideration of group-level insight and inform regarding individual differences in cognitive and metacognitive abilities.
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Affiliation(s)
| | - Robert D McIntosh
- Human Cognitive Neuroscience, Psychology, University of Edinburgh, Edinburgh, UK
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Arrington MN, Scherf KS. Investigating the stability of individual differences in face recognition behavior. Sci Rep 2025; 15:9425. [PMID: 40108241 PMCID: PMC11923172 DOI: 10.1038/s41598-025-90317-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Accepted: 02/12/2025] [Indexed: 03/22/2025] Open
Abstract
Individual differences in face recognition abilities are characterized as heritable and resilient to change. However, this work is largely based on inter-individual differences, tends to include participants with extreme behavior (e.g., prosopagnosia, super-recognizers), and does not accommodate patterns of bias in intra-individual recognition behavior. Here, we investigated the continuity and stability of intra-individual differences in face recognition behavior among emerging adults using two tasks of unfamiliar face recognition that differ in the gender of the faces to be recognized. Although the estimate of stability is high (0.71) across the sample, there are instabilities in the behavior of many individual participants. For example, approximately 16.7% of the sample exhibited a discrepancy between tasks that was larger than 1 SD. Also, stability was more characteristic of extreme behavior. This is a bit surprising given the potential for close generalization of performance across these two tasks (identical structure and similar stimuli). Inter-individual differences in participant characteristics (i.e., gender, age, social skills) do not explain this variability. These findings are difficult to accommodate into current models of individual differences in face recognition behavior.
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Affiliation(s)
- Myles N Arrington
- Department of Psychology, Pennsylvania State University, 113 Moore Building, University Park, PA, 16802, USA
| | - K Suzanne Scherf
- Department of Psychology, Pennsylvania State University, 113 Moore Building, University Park, PA, 16802, USA.
- Social Science Research Institute, Pennsylvania State University, 113 Moore Building, University Park, PA, 16802, USA.
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DeGutis J, Palsamudram T, Campbell A, Fry R, Verfaellie M, Anderson ND. Better face-name recall is associated with better face recognition ability. Q J Exp Psychol (Hove) 2024:17470218241290229. [PMID: 39324221 DOI: 10.1177/17470218241290229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2024]
Abstract
Face recognition is a highly developed and specialised human ability, distinct from other cognitive abilities. Previous studies examining individual differences in face recognition have focused on face perception and specialised perceptual mechanisms such as holistic face processing. However, the contribution of specific face memory processes to face recognition ability remains unclear. In 99 neurotypical individuals, we administered validated face perception assessments, three face memory tasks (old/new task, face-scene task, face-name/occupation task), and the Cambridge Face Memory Test (CFMT) to assess face recognition ability. We found that after accounting for face perception ability (which significantly predicted face recognition ability), face-name recall and recollection of faces in the face-scene task predicted unique variance in face recognition ability, with face-name recall being the strongest predictor. This highlights that associative memory mechanisms contribute to face recognition abilities and suggests that the ability to learn and recall proper names is particularly important to face recognition.
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Affiliation(s)
- Joseph DeGutis
- Boston Attention and Learning Laboratory, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Tanvi Palsamudram
- Boston Attention and Learning Laboratory, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Alison Campbell
- Boston Attention and Learning Laboratory, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Regan Fry
- Boston Attention and Learning Laboratory, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Mieke Verfaellie
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
- Memory Disorders Research Center, VA Boston Healthcare System, Boston, MA, USA
| | - Nicole D Anderson
- Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, ON, Canada
- Departments of Psychology and Psychiatry, University of Toronto, ON, Canada
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Mazuz Y, Kessler Y, Ganel T. Age-related changes in the susceptibility to visual illusions of size. Sci Rep 2024; 14:14583. [PMID: 38918501 PMCID: PMC11199550 DOI: 10.1038/s41598-024-65405-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Accepted: 06/19/2024] [Indexed: 06/27/2024] Open
Abstract
As the global population ages, understanding of the effect of aging on visual perception is of growing importance. This study investigates age-related changes in adulthood along size perception through the lens of three visual illusions: the Ponzo, Ebbinghaus, and Height-width illusions. Utilizing the Bayesian conceptualization of the aging brain, which posits increased reliance on prior knowledge with age, we explored potential differences in the susceptibility to visual illusions across different age groups in adults (ages 20-85 years). To this end, we used the BTPI (Ben-Gurion University Test for Perceptual Illusions), an online validated battery of visual illusions developed in our lab. The findings revealed distinct patterns of age-related changes for each of the illusions, challenging the idea of a generalized increase in reliance on prior knowledge with age. Specifically, we observed a systematic reduction in susceptibility to the Ebbinghaus illusion with age, while susceptibility to the Height-width illusion increased with age. As for the Ponzo illusion, there were no significant changes with age. These results underscore the complexity of age-related changes in visual perception and converge with previous findings to support the idea that different visual illusions of size are mediated by distinct perceptual mechanisms.
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Affiliation(s)
- Yarden Mazuz
- Department of Psychology, Ben-Gurion University of the Negev, 8410500, Beer-Sheva, Israel
| | - Yoav Kessler
- Department of Psychology, Ben-Gurion University of the Negev, 8410500, Beer-Sheva, Israel
| | - Tzvi Ganel
- Department of Psychology, Ben-Gurion University of the Negev, 8410500, Beer-Sheva, Israel.
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Davies-Thompson J, Morgan D, Davis JP, Towler JR. Face Feature Change Detection Ability in Developmental Prosopagnosia and Super-Recognisers. Brain Sci 2024; 14:561. [PMID: 38928560 PMCID: PMC11201608 DOI: 10.3390/brainsci14060561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 05/27/2024] [Accepted: 05/28/2024] [Indexed: 06/28/2024] Open
Abstract
In non-clinical populations, facial features (eyes, nose, mouth) may vary in their contribution to face identity perception. Changes to whole faces are easier to detect than changes to individual features, and eye changes are typically easier to detect than mouth changes, which in turn are easier to detect than nose changes. However, how this differs for people with face recognition difficulties (developmental prosopagnosia; DP) and for individuals with superior face recognition abilities (super-recognisers; SR) is not clear; although findings from previous studies have suggested differences, the nature of this difference is not understood. The aim of this study was to examine whether differences in the ability to detect feature changes in DPs and SRs were (a) quantitative, meaning that the pattern across feature changes remained the same but there was an overall upwards or downwards shift in performance, or (b) qualitative, meaning that the pattern across feature changes was different. Using a change detection task in which individual face features (eyes, nose, mouth) changed between sequentially presented faces, we found that while prosopagnosics showed a quantitative difference in performance with a downwards shift across all conditions, super-recognisers only showed qualitative differences: they were better able to detect when the face was the same and were marginally (but not non-significantly) worse at detecting when the eyes changed. Further, the only condition which distinguished between the three groups was the ability to identify when the same face was presented, with SRs being better than controls, and controls being better than DPs. Our findings suggest that, in feature-matching tasks, differences for DPs are due to them being overall worse at the task, while SRs use a qualitatively different strategy.
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Affiliation(s)
- Jodie Davies-Thompson
- School of Psychology, Vivian Tower, Faculty of Medicine, Human & Health Sciences, Swansea University, Swansea SA2 8PP, UK (J.R.T.)
| | - Daniel Morgan
- School of Psychology, Vivian Tower, Faculty of Medicine, Human & Health Sciences, Swansea University, Swansea SA2 8PP, UK (J.R.T.)
| | | | - John R. Towler
- School of Psychology, Vivian Tower, Faculty of Medicine, Human & Health Sciences, Swansea University, Swansea SA2 8PP, UK (J.R.T.)
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Stantić M, Knyspel J, Gaches A, Liu Y, Bird G, Catmur C. The Oxford Face Matching Test: Short-form alternative. Q J Exp Psychol (Hove) 2024; 77:893-897. [PMID: 37278595 PMCID: PMC10960320 DOI: 10.1177/17470218231182933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/29/2023] [Accepted: 05/31/2023] [Indexed: 06/07/2023]
Abstract
A recently published test of face perception, the Oxford Face Matching Test, asks participants to make two judgements: whether two faces are of the same individual and how perceptually similar the two faces are. In this study, we sought to determine to what extent the test can be shortened by removing the perceptual similarity judgements and whether this affects test performance. In Experiment 1, participants completed two versions of the test, with and without similarity judgements, in separate sessions in counterbalanced order. The version without similarity judgements took approximately 40% less time to complete. Performance on the matching judgements did not differ across versions and the correlation in accuracy across the two versions was comparable with the originally reported test-retest reliability value. Experiment 2 validated the version without similarity judgements against other measures, demonstrating moderate relationships with other face matching, memory, and self-report face perception measures. These data indicate that a test version without the similarity judgements can substantially reduce administration time without affecting test performance.
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Affiliation(s)
- Mirta Stantić
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Jacob Knyspel
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Akhina Gaches
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Yining Liu
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Geoffrey Bird
- Department of Experimental Psychology, University of Oxford, Oxford, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Caroline Catmur
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
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Stantić M, Brown K, Ichijo E, Pounder Z, Catmur C, Bird G. Independent measurement of face perception, face matching, and face memory reveals impairments in face perception and memory, but not matching, in autism. Psychon Bull Rev 2023; 30:2240-2249. [PMID: 37312015 PMCID: PMC10728234 DOI: 10.3758/s13423-023-02304-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/01/2023] [Indexed: 06/15/2023]
Abstract
Multiple psychological processes are required in order for a face to be recognised from memory. However, when testing face memory using tasks such as the Cambridge Face Memory Task (CFMT), it is rare for studies to attempt to account for individual differences in face perception and face matching in order to isolate variance in face memory specifically. In Study 1, the Oxford Face Matching Test (OFMT) was used to assess face matching and face perception in a large sample of participants (N = 1,112). Results revealed independent contributions of face perception and matching to CFMT performance, and these results replicated with the Glasgow Face Matching Test. In Study 2, the same procedure was used to test face perception, face matching and face memory in a group of 57 autistic adults and a matched neurotypical control group. Results revealed impaired face perception and memory in the individuals with autism, but intact face matching. Face perception may therefore act as a potential intervention target for individuals with autism who exhibit face recognition impairments.
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Affiliation(s)
- Mirta Stantić
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Katie Brown
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Eri Ichijo
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Zoë Pounder
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | | | - Geoffrey Bird
- Department of Experimental Psychology, University of Oxford, Oxford, UK.
- School of Psychology, University of Birmingham, Birmingham, UK.
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Dal Lago D, Burns E, Gaunt E, Peers E, Jackson RC, Wilcockson TDW. Alcohol Use Predicts Face Perception Impairments and Difficulties in Face Recognition. Subst Use Misuse 2023; 58:1734-1741. [PMID: 37602741 DOI: 10.1080/10826084.2023.2247059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Background: Risky alcohol use is related to a variety of cognitive impairments, including memory and visuo-perceptual difficulties. Remarkably, no prior work has assessed whether usage of alcohol can predict difficulties perceiving facial identity. Objectives: Therefore, this study aimed to investigate whether riskier alcohol consumption predicted impairments in face perception and self-reported difficulties in face recognition. Results: Participants (N = 239, male = 77) were over 18 years old and had normal or corrected-to-normal vision. Alcohol use was assessed using the Alcohol Use Disorder Identification Test (AUDIT), while face recognition difficulties were determined by the 20-item Prosopagnosia Index questionnaire (PI20). A subsample of participants (N = 126, male = 51) completed the Cambridge Face Perception task (CFPT) to assess their face perception ability. Multiple linear regressions showed significant models of prediction on both face perception and face recognition when considering AUDIT score and age as predictors. Conclusion: This study suggested, for the first time, that risky alcohol use predicts both poorer visuo-perceptual processing for faces and self-reported difficulties in face recognition.
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Affiliation(s)
- Denise Dal Lago
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Edwin Burns
- Department of Psychology, Edge Hill University, Ormskirk, UK
| | - Elizabeth Gaunt
- Department of Psychology, Edge Hill University, Ormskirk, UK
| | - Emma Peers
- Department of Psychology, Edge Hill University, Ormskirk, UK
| | - Robin C Jackson
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Thomas D W Wilcockson
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
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Pieslinger JF, Wiskerke J, Igelström K. Contributions of face processing, social anhedonia and mentalizing to the expression of social autistic-like traits. Front Behav Neurosci 2022; 16:1046097. [PMID: 36620857 PMCID: PMC9817135 DOI: 10.3389/fnbeh.2022.1046097] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022] Open
Abstract
Introduction Quantitative autistic-like traits (QATs) are a constellation of traits that mirror those of clinical autism and are thought to share the same mechanisms as the condition. There is great interest in identifying the genetic and neurobiological basis of QATs, but progress is hindered by the composite nature of these clinically based constructs. Social QATs are defined according to the diagnostic criteria for autism, comprising multiple potential neural mechanisms that may contribute to varying degrees. The objective of this study was to decompose social QATs into more specific constructs, in line with the Research Domain Criteria (RDoC). We chose constructs with trait-like properties and known or suggested significance for autistic social function: (1) social anhedonia, (2) prosopagnosia (face blindness), and (3) mentalizing (attributing mental states to images of eyes). We hypothesized that these constructs may all contribute to observed variance in social QATs. Methods We recruited 148 adults with a broad range of QATs (mean age 37.9 years, range 18-69; 50% female; 5.4% autistic) to an experimental behavioral study conducted online. We estimated social QATs using the social factor of the Comprehensive Autistic Traits Inventory. We used the Oxford Face Matching Task and the Reading the Mind in the Eyes Test to measure face matching ability and mentalizing, respectively. Social anhedonia traits were measured with the Anticipatory and Consummatory Interpersonal Pleasure Scale, and prosopagnosic traits with the 20-item Prosopagnosia Index. A combination of frequentist and Bayesian statistics was used to test the social constructs as predictors of social QATs. Results We found that social anhedonic traits, prosopagnosic traits, and face matching performance were likely predictors of social QATs, whereas mentalizing showed limited contribution. Conclusion The findings support prosopagnosic and anhedonic traits, but not mentalizing deficits, as dimensional predictors of individual differences in social function across the autistic spectrum. Further, the study strongly suggests that social reward systems and face processing networks play significant and independent roles in autistic-like social function.
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Affiliation(s)
- Johan F. Pieslinger
- Division of Neurobiology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Joost Wiskerke
- Center for Social and Affective Neuroscience, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Kajsa Igelström
- Division of Neurobiology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden,*Correspondence: Kajsa Igelström,
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