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Quantifying social performance: A review with implications for further work
Human social performance has been a focus of theory and investigation for more than a century. Attempts to quantify social performance have focused on self-report and non-social performance measures grounded in intelligence-based theories. An expertise framework, when applied to individual differenc...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172596/ https://www.ncbi.nlm.nih.gov/pubmed/37179870 http://dx.doi.org/10.3389/fpsyg.2023.1124385 |
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author | Wild, Marcus G. Cutler, Rebecca A. Bachorowski, Jo-Anne |
author_facet | Wild, Marcus G. Cutler, Rebecca A. Bachorowski, Jo-Anne |
author_sort | Wild, Marcus G. |
collection | PubMed |
description | Human social performance has been a focus of theory and investigation for more than a century. Attempts to quantify social performance have focused on self-report and non-social performance measures grounded in intelligence-based theories. An expertise framework, when applied to individual differences in social interaction performance, offers novel insights and methods of quantification that could address limitations of prior approaches. The purposes of this review are 3-fold. First, to define the central concepts related to individual differences in social performance, with a particular focus on the intelligence-based framework that has dominated the field. Second, to make an argument for a revised conceptualization of individual differences in social–emotional performance as a social expertise. In support of this second aim, the putative components of a social–emotional expertise and the potential means for their assessment will be outlined. To end, the implications of an expertise-based conceptual framework for the application of computational modeling approaches in this area will be discussed. Taken together, expertise theory and computational modeling methods have the potential to advance quantitative assessment of social interaction performance. |
format | Online Article Text |
id | pubmed-10172596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101725962023-05-12 Quantifying social performance: A review with implications for further work Wild, Marcus G. Cutler, Rebecca A. Bachorowski, Jo-Anne Front Psychol Psychology Human social performance has been a focus of theory and investigation for more than a century. Attempts to quantify social performance have focused on self-report and non-social performance measures grounded in intelligence-based theories. An expertise framework, when applied to individual differences in social interaction performance, offers novel insights and methods of quantification that could address limitations of prior approaches. The purposes of this review are 3-fold. First, to define the central concepts related to individual differences in social performance, with a particular focus on the intelligence-based framework that has dominated the field. Second, to make an argument for a revised conceptualization of individual differences in social–emotional performance as a social expertise. In support of this second aim, the putative components of a social–emotional expertise and the potential means for their assessment will be outlined. To end, the implications of an expertise-based conceptual framework for the application of computational modeling approaches in this area will be discussed. Taken together, expertise theory and computational modeling methods have the potential to advance quantitative assessment of social interaction performance. Frontiers Media S.A. 2023-04-27 /pmc/articles/PMC10172596/ /pubmed/37179870 http://dx.doi.org/10.3389/fpsyg.2023.1124385 Text en Copyright © 2023 Wild, Cutler and Bachorowski. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Wild, Marcus G. Cutler, Rebecca A. Bachorowski, Jo-Anne Quantifying social performance: A review with implications for further work |
title | Quantifying social performance: A review with implications for further work |
title_full | Quantifying social performance: A review with implications for further work |
title_fullStr | Quantifying social performance: A review with implications for further work |
title_full_unstemmed | Quantifying social performance: A review with implications for further work |
title_short | Quantifying social performance: A review with implications for further work |
title_sort | quantifying social performance: a review with implications for further work |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172596/ https://www.ncbi.nlm.nih.gov/pubmed/37179870 http://dx.doi.org/10.3389/fpsyg.2023.1124385 |
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