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Decoding the Dyad: Challenges in the Study of Individual Differences in Social Behavior

机译:解码二元论:社会行为个体差异研究中的挑战

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摘要

Social relationships are central to human life and are underpinned by the social interactions that constitute them. Both the behavioral sequences and the quality of these interactions vary significantly from individual to individual and conversation to conversation. This makes it difficult to understand the mechanisms that cause individual differences in social behavior and how such differences affect social outcomes. In order to gain insight into this problem, research must involve the study of real social interactions in parallel with experimental laboratory work. The aim of this review is to present three challenges in the study of face-to-face social behavior and to review results that have begun to address the question of how individual differences predict social behavior, which in turn determines social outcomes. Importantly, this review demonstrates that natural social behavior can be used as an outcome variable in experimental settings, making it possible to examine the mechanisms that drive social behavior and individual differences therein.
机译:社会关系是人类生活的中心,并由构成社会关系的社会互动为基础。这些行为的顺序和交互的质量在个人与个人之间以及对话与对话之间都存在显着差异。这使得难以理解导致个体社会行为差异的机制以及这种差异如何影响社会成果。为了深入了解此问题,研究必须包括对与实验实验室工作同时进行的实际社会互动的研究。这篇综述的目的是提出面对面社会行为研究中的三个挑战,并回顾那些已经开始解决个体差异如何预测社会行为的问题,而社交行为反过来又决定了社会结果。重要的是,该综述表明自然的社会行为可以在实验环境中用作结果变量,从而有可能研究推动社会行为和其中个体差异的机制。

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