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量化社会绩效:一项具有后续研究意义的综述。

Quantifying social performance: A review with implications for further work.

作者信息

Wild Marcus G, Cutler Rebecca A, Bachorowski Jo-Anne

机构信息

VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX, United States.

Department of Psychology and Neuroscience, University of Texas, Austin, TX, United States.

出版信息

Front Psychol. 2023 Apr 27;14:1124385. doi: 10.3389/fpsyg.2023.1124385. eCollection 2023.

Abstract

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.

摘要

一个多世纪以来,人类社会行为一直是理论和研究的焦点。量化社会行为的尝试主要集中在基于智力理论的自我报告和非社会行为测量上。当一个专业知识框架应用于社会互动行为的个体差异时,它提供了新的见解和量化方法,可以解决先前方法的局限性。本综述有三个目的。第一,定义与社会行为个体差异相关的核心概念,特别关注主导该领域的基于智力的框架。第二,论证将社会情感行为个体差异重新概念化为一种社会专业知识。为支持这第二个目标,将概述社会情感专业知识的假定组成部分及其潜在的评估方法。最后,将讨论基于专业知识的概念框架对计算建模方法在该领域应用的影响。总之,专业知识理论和计算建模方法有潜力推进社会互动行为的定量评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c582/10172596/81a471d3f521/fpsyg-14-1124385-g001.jpg

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