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Holistic and featural processing’s link to face recognition varies by individual and task

While it is generally accepted that holistic processing facilitates face recognition, recent studies suggest that poor recognition might also arise from imprecise perception of local features in the face. This study aimed to examine to what extent holistic and featural processing relates to individu...

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Autores principales: Leong, Bryan Qi Zheng, Estudillo, Alejandro J., Hussain Ismail, Ahamed Miflah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558561/
https://www.ncbi.nlm.nih.gov/pubmed/37803085
http://dx.doi.org/10.1038/s41598-023-44164-w
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author Leong, Bryan Qi Zheng
Estudillo, Alejandro J.
Hussain Ismail, Ahamed Miflah
author_facet Leong, Bryan Qi Zheng
Estudillo, Alejandro J.
Hussain Ismail, Ahamed Miflah
author_sort Leong, Bryan Qi Zheng
collection PubMed
description While it is generally accepted that holistic processing facilitates face recognition, recent studies suggest that poor recognition might also arise from imprecise perception of local features in the face. This study aimed to examine to what extent holistic and featural processing relates to individual differences in face recognition ability (FRA), during face learning (Experiment 1) and face recognition (Experiment 2). Participants performed two tasks: (1) The “Cambridge Face Memory Test-Chinese” which measured participants’ FRAs, and (2) an “old/new recognition memory test” encompassing whole faces (preserving holistic and featural processing) and faces revealed through a dynamic aperture (impairing holistic processing but preserving featural processing). Our results showed that participants recognised faces more accurately in conditions when holistic information was preserved, than when it is impaired. We also show that the better use of holistic processing during face learning and face recognition was associated with better FRAs. However, enhanced featural processing during recognition, but not during learning, was related to better FRAs. Together, our findings demonstrate that good face recognition depends on distinct roles played by holistic and featural processing at different stages of face recognition.
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spelling pubmed-105585612023-10-08 Holistic and featural processing’s link to face recognition varies by individual and task Leong, Bryan Qi Zheng Estudillo, Alejandro J. Hussain Ismail, Ahamed Miflah Sci Rep Article While it is generally accepted that holistic processing facilitates face recognition, recent studies suggest that poor recognition might also arise from imprecise perception of local features in the face. This study aimed to examine to what extent holistic and featural processing relates to individual differences in face recognition ability (FRA), during face learning (Experiment 1) and face recognition (Experiment 2). Participants performed two tasks: (1) The “Cambridge Face Memory Test-Chinese” which measured participants’ FRAs, and (2) an “old/new recognition memory test” encompassing whole faces (preserving holistic and featural processing) and faces revealed through a dynamic aperture (impairing holistic processing but preserving featural processing). Our results showed that participants recognised faces more accurately in conditions when holistic information was preserved, than when it is impaired. We also show that the better use of holistic processing during face learning and face recognition was associated with better FRAs. However, enhanced featural processing during recognition, but not during learning, was related to better FRAs. Together, our findings demonstrate that good face recognition depends on distinct roles played by holistic and featural processing at different stages of face recognition. Nature Publishing Group UK 2023-10-06 /pmc/articles/PMC10558561/ /pubmed/37803085 http://dx.doi.org/10.1038/s41598-023-44164-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Leong, Bryan Qi Zheng
Estudillo, Alejandro J.
Hussain Ismail, Ahamed Miflah
Holistic and featural processing’s link to face recognition varies by individual and task
title Holistic and featural processing’s link to face recognition varies by individual and task
title_full Holistic and featural processing’s link to face recognition varies by individual and task
title_fullStr Holistic and featural processing’s link to face recognition varies by individual and task
title_full_unstemmed Holistic and featural processing’s link to face recognition varies by individual and task
title_short Holistic and featural processing’s link to face recognition varies by individual and task
title_sort holistic and featural processing’s link to face recognition varies by individual and task
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558561/
https://www.ncbi.nlm.nih.gov/pubmed/37803085
http://dx.doi.org/10.1038/s41598-023-44164-w
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