2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Towards a ‘manifesto’ for super‐recognizer research

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This article provides a response to five excellent commentaries on our article ‘Super‐recognizers: From the lab to the world and back again’. Specifically, the response summarizes commonalities between these commentaries. Based on this consensus, we propose a flexible framework for the assessment of superior face recognition and outline guiding principles to advance future work in the field.

          Related collections

          Most cited references3

          • Record: found
          • Abstract: found
          • Article: not found

          Capturing specific abilities as a window into human individuality: The example of face recognition

          Proper characterization of each individual's unique pattern of strengths and weaknesses requires good measures of diverse abilities. Here, we advocate combining our growing understanding of neural and cognitive mechanisms with modern psychometric methods in a renewed effort to capture human individuality through a consideration of specific abilities. We articulate five criteria for the isolation and measurement of specific abilities, then apply these criteria to face recognition. We cleanly dissociate face recognition from more general visual and verbal recognition. This dissociation stretches across ability as well as disability, suggesting that specific developmental face recognition deficits are a special case of a broader specificity that spans the entire spectrum of human face recognition performance. Item-by-item results from 1,471 web-tested participants, included as supplementary information, fuel item analyses, validation, norming, and item response theory (IRT) analyses of our three tests: (a) the widely used Cambridge Face Memory Test (CFMT); (b) an Abstract Art Memory Test (AAMT), and (c) a Verbal Paired-Associates Memory Test (VPMT). The availability of this data set provides a solid foundation for interpreting future scores on these tests. We argue that the allied fields of experimental psychology, cognitive neuroscience, and vision science could fuel the discovery of additional specific abilities to add to face recognition, thereby providing new perspectives on human individuality.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Consolidation, wider reflection, and policy: Response to 'Super-recognisers: From the lab to the world and back again'.

            Here, David Robertson and Markus Bindemann respond to a recent BJP Target Article on 'super-recognisers' (SRs). They outline the need to consider human factors that could influence SR performance after selection and the need for a co-ordinated effort to ensure best practice in the implementation of SRs in applied contexts.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Breaking face processing tasks apart to improve their predictive value in the real world: A comment on Ramon, Bobak, and White (2019)

              In this commentary, I will expand on three aspects suggested by Ramon et al. (2019, British Journal of Psychology, 110, 461) to improve the predictive value of laboratory-based tasks in real-world applications. There are potential benefits that may arise from three interrelated considerations, particularly in terms of predicting agents' susceptibility to errors in operational settings. The first is a proposal to conduct a detailed examination of performance on face processing tests rather than only analysing overall accuracy scores. The second involves considering non-face-related cognitive and meta-cognitive sub-processes involved in face processing tasks. The third highlights the contribution of superior recognisers in creating challenging tests that simulate difficult real-world situations.
                Bookmark

                Author and article information

                Contributors
                annakbobak@gmail.com
                Journal
                Br J Psychol
                Br J Psychol
                10.1111/(ISSN)2044-8295
                BJOP
                British Journal of Psychology
                John Wiley and Sons Inc. (Hoboken )
                0007-1269
                2044-8295
                23 June 2019
                August 2019
                : 110
                : 3 ( doiID: 10.1111/bjop.2019.110.issue-3 )
                : 495-498
                Affiliations
                [ 1 ] Applied Face Cognition Lab University of Fribourg Switzerland
                [ 2 ] Department of Psychology Faculty of Natural Sciences University of Stirling UK
                [ 3 ] School of Psychology UNSW Sydney New South Wales Australia
                Author notes
                [*] [* ]Correspondence should be addressed to Anna K. Bobak, Psychology, Faculty of Natural Sciences, University of Stirling’, Cottrell Building, Stirling FK9 4LA, UK (email: annakbobak@ 123456gmail.com ).

                All authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-4100-5807
                https://orcid.org/0000-0002-6366-2699
                Article
                BJOP12411
                10.1111/bjop.12411
                6771599
                31231789
                a85685dc-890c-4c9f-844f-1e40402c7a84
                © 2019 The Authors. British Journal of Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 14 May 2019
                : 21 May 2019
                Page count
                Figures: 0, Tables: 0, Pages: 4, Words: 2017
                Funding
                Funded by: Engineering and Physical Sciences Research Council
                Award ID: EP/N007743/1
                Funded by: Australian Research Council Linkage Project
                Award ID: LP160101523
                Funded by: UNSW Scientia Fellowship
                Funded by: Swiss National Science Foundation PRIMA
                Award ID: PR00P1_179872
                Categories
                Response Article
                Response Article
                Custom metadata
                2.0
                bjop12411
                August 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.9 mode:remove_FC converted:01.10.2019

                super‐recognizers,face processing,face recognition,face identification,face matching,open science,replicability

                Comments

                Comment on this article